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<!doctype html> <html data-n-head-ssr lang="en" data-n-head="%7B%22lang%22:%7B%22ssr%22:%22en%22%7D%7D"> <head > <meta data-n-head="ssr" charset="utf-8"><meta data-n-head="ssr" name="viewport" content="width=device-width,initial-scale=1.0,maximum-scale=1.0, user-scalable=0"><meta data-n-head="ssr" http-equiv="Content-Security-Policy" content="default-src * data:; child-src * 'self' blob: http:;img-src * 'self' data: http:; script-src 'self' 'unsafe-inline' 'unsafe-eval' *;style-src 'self' 'unsafe-inline' *"><meta data-n-head="ssr" name="description" content="Guest Editor: Haibin Duan,A Special Issue of Intelligence & Robotics,Topic: Swarm Intelligence for Robotic Systems,Special Issue Introduction:The Special Issue on Swarm Intelligence for Robotic Systems aims to explore the cutting-edge research and applications at the intersection of swarm intelligence and robotics. Swarm intelligence, inspired by the collective behavior of social insect colonies, offers a promising approach to designing intelligent and adaptive systems. By integrating swarm intelligence principles into robotic systems, researchers are harnessing the power of decentralized cooperation, self-organization, and emergent behavior to tackle complex challenges in various domains.This Special Issue serves as a platform for researchers and practitioners to share their latest advancements, methodologies, algorithms, and real-world implementations in the field of swarm intelligence for robotic systems. It covers a wide range of topics, including but not limited to swarm robotics, collective decision-making, swarm coordination, swarm communication, swarm optimization, and self-organization in robotic systems.The aim of this Special Issue is to foster interdisciplinary collaboration and exchange of knowledge among researchers from swarm intelligence and robotics communities. We invite high-quality submissions of original research articles, reviews, and case studies that explore novel approaches, theoretical foundations, practical algorithms, and experimental validations related to swarm intelligence in the context of robotic systems.Topics of interest for this Special Issue include, but are not limited to:● Swarm robotics and collective behaviors;● Self-reconfigure robots or self-assemble robots;● Multi-robot systems and swarm coordination;● Swarm communication and information sharing;● Swarm-based search and exploration;● Swarm optimization and task allocation;● Self-organization and adaptation in robotic swarms;● Distributed decision-making and consensus in swarm robotics;● Bio-inspired algorithms for swarm intelligence;● Real-world applications of swarm intelligence in robotics;● Ethical and safety considerations in swarm-based robotic systems."><meta data-n-head="ssr" name="keywords" content=""><meta data-n-head="ssr" name="twitter:title" title="Topic: Swarm Intelligence for Robotic Systems"><meta data-n-head="ssr" name="twitter:type" content="OAE Publishing Inc."><meta data-n-head="ssr" name="twitter:description" content="Guest Editor: Haibin Duan,A Special Issue of Intelligence & Robotics,Topic: Swarm Intelligence for Robotic Systems,Special Issue Introduction:The Special Issue on Swarm Intelligence for Robotic Systems aims to explore the cutting-edge research and applications at the intersection of swarm intelligence and robotics. Swarm intelligence, inspired by the collective behavior of social insect colonies, offers a promising approach to designing intelligent and adaptive systems. By integrating swarm intelligence principles into robotic systems, researchers are harnessing the power of decentralized cooperation, self-organization, and emergent behavior to tackle complex challenges in various domains.This Special Issue serves as a platform for researchers and practitioners to share their latest advancements, methodologies, algorithms, and real-world implementations in the field of swarm intelligence for robotic systems. It covers a wide range of topics, including but not limited to swarm robotics, collective decision-making, swarm coordination, swarm communication, swarm optimization, and self-organization in robotic systems.The aim of this Special Issue is to foster interdisciplinary collaboration and exchange of knowledge among researchers from swarm intelligence and robotics communities. We invite high-quality submissions of original research articles, reviews, and case studies that explore novel approaches, theoretical foundations, practical algorithms, and experimental validations related to swarm intelligence in the context of robotic systems.Topics of interest for this Special Issue include, but are not limited to:● Swarm robotics and collective behaviors;● Self-reconfigure robots or self-assemble robots;● Multi-robot systems and swarm coordination;● Swarm communication and information sharing;● Swarm-based search and exploration;● Swarm optimization and task allocation;● Self-organization and adaptation in robotic swarms;● Distributed decision-making and consensus in swarm robotics;● Bio-inspired algorithms for swarm intelligence;● Real-world applications of swarm intelligence in robotics;● Ethical and safety considerations in swarm-based robotic systems."><meta data-n-head="ssr" property="og:url" content="https://www.oaepublish.com/specials/ir.1517"><meta data-n-head="ssr" property="og:type" content="OAE Publishing Inc."><meta data-n-head="ssr" property="og:site_name" title="Topic: Swarm Intelligence for Robotic Systems"><meta data-n-head="ssr" property="og:title" title="Topic: Swarm Intelligence for Robotic Systems"><title>Topic: Swarm Intelligence for Robotic Systems</title><link data-n-head="ssr" rel="icon" type="image/x-icon" href="/favicon.ico"><script data-n-head="ssr" src="https://accounts.google.com/gsi/client" async></script><script data-n-head="ssr" src="https://g.oaes.cc/oae/dist/relijs.js" async></script><script data-n-head="ssr" src="https://www.googletagmanager.com/gtag/js?id=G-FM6KBJGRBV" async></script><link rel="preload" href="https://g.oaes.cc/oae/nuxt/b06ddfb.js" as="script"><link rel="preload" href="https://g.oaes.cc/oae/nuxt/0a3b980.js" as="script"><link rel="preload" href="https://g.oaes.cc/oae/nuxt/css/8176b15.css" as="style"><link rel="preload" href="https://g.oaes.cc/oae/nuxt/3e8004d.js" as="script"><link rel="preload" href="https://g.oaes.cc/oae/nuxt/css/f3a19d3.css" as="style"><link rel="preload" href="https://g.oaes.cc/oae/nuxt/b19d7ea.js" as="script"><link rel="preload" href="https://g.oaes.cc/oae/nuxt/css/99bd026.css" as="style"><link rel="preload" href="https://g.oaes.cc/oae/nuxt/0b0ded9.js" as="script"><link rel="preload" href="https://g.oaes.cc/oae/nuxt/css/06b0ac6.css" as="style"><link rel="preload" href="https://g.oaes.cc/oae/nuxt/17e402d.js" as="script"><link rel="stylesheet" href="https://g.oaes.cc/oae/nuxt/css/8176b15.css"><link rel="stylesheet" href="https://g.oaes.cc/oae/nuxt/css/f3a19d3.css"><link rel="stylesheet" href="https://g.oaes.cc/oae/nuxt/css/99bd026.css"><link rel="stylesheet" href="https://g.oaes.cc/oae/nuxt/css/06b0ac6.css"> </head> <body > <div data-server-rendered="true" id="__nuxt"><div id="__layout"><div data-fetch-key="oaelayoutc:0"><div class="PcComment" data-v-43aad25a><div class="ipad_bg" style="display:none;" data-v-43aad25a></div> <div class="head_top" data-v-43aad25a><div class="wrapper head_box" data-v-43aad25a><span class="qk_jx" data-v-43aad25a><img src="https://i.oaes.cc/upload/journal_logo/ir.png" alt data-v-43aad25a></span> <a href="/ir" class="qk_a_name" data-v-43aad25a><span class="title font20" data-v-43aad25a>Intelligence & Robotics</span></a> <i class="el-icon-caret-right sjbtn" style="color:rgb(0,71,187);" data-v-43aad25a></i> <div class="top_img" data-v-43aad25a><a href="https://www.scopus.com/sourceid/21101199351" target="_blank" data-v-43aad25a><img src="https://i.oaes.cc/uploads/20240813/49390c7e86ab40a58ee862e8c1af65ba.png" alt data-v-43aad25a></a><a href="" target="_blank" data-v-43aad25a><img src="https://i.oaes.cc/uploads/20240506/ea3d9071c35b4bf3982ffe25f1083620.png" alt data-v-43aad25a></a></div> <div class="oae_menu_box" data-v-43aad25a><a href="/alljournals" data-v-43aad25a><span data-v-43aad25a>All Journals</span></a></div> <span class="search" data-v-43aad25a><i class="icon-search icon_right font24" data-v-43aad25a></i> <span data-v-43aad25a>Search</span></span> <span class="go_oae" data-v-43aad25a><a href="https://oaemesas.com/login?JournalId=ir" target="_blank" data-v-43aad25a><i class="icon-login-line icon_right font24" data-v-43aad25a></i> <span data-v-43aad25a>Log In</span></a></span></div></div> <div class="cg" style="height: 41px" data-v-43aad25a></div>  <div class="head_text" style="border-bottom:3px solid rgb(0,71,187);" data-v-43aad25a><div class="head_search wrapper" style="display:none;" data-v-43aad25a><div class="box_btn" data-v-43aad25a><div class="qk_miss" data-v-43aad25a><img src="https://i.oaes.cc/uploads/20231121/59802903b17e4eebae240e004311d193.jpg" alt class="qk_fm" data-v-43aad25a> <div class="miss_right" data-v-43aad25a><div class="miss_btn" data-v-43aad25a><span data-v-43aad25a><span class="font_b" data-v-43aad25a>Editor-in-Chief:</span> Simon X. 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class="top_breadcrumb" data-v-689343a6>Topic: Swarm Intelligence for Robotic Systems</span></span><span role="presentation" class="el-breadcrumb__separator"></span></span></div></div> <div class="wrapper" data-v-689343a6><div class="top_line2" data-v-689343a6></div> <h2 class="oae_header_tit" data-v-689343a6>Special Issue</h2> <div class="line_list" data-v-689343a6></div> <div class="art_content" data-v-689343a6><div class="art_info" data-v-689343a6><div class="volume_top_con" data-v-689343a6><div class="top_left" data-v-689343a6><div class="imgBig" data-v-750ffa2e data-v-689343a6><div class="left" data-v-750ffa2e><img src="https://i.oaes.cc/uploads/20230525/e20ca0a2b2aa4ef4aad1afc5cc4f3aff.jpg" alt class="leftImg" data-v-750ffa2e> <div class="top" style="transform:;display:none;" data-v-750ffa2e></div> <div class="maskTop" data-v-750ffa2e></div></div> <div class="right" style="display:none;" data-v-750ffa2e><img src="https://i.oaes.cc/uploads/20230525/e20ca0a2b2aa4ef4aad1afc5cc4f3aff.jpg" alt class="rightImg" data-v-750ffa2e></div></div></div> <div class="top_right" data-v-689343a6><h1 id="ar_num" data-v-689343a6>Topic: Swarm Intelligence for Robotic Systems</h1> <div class="iss_download" data-v-689343a6><a href="https://f.oaes.cc/read_online/special_issue/ir/1517/1517.html" target="_blank" data-v-689343a6><button type="button" class="el-button el-button--default el-button--mini" data-v-689343a6><span><i class="icon-view icon_right4" data-v-689343a6></i> Read Online</span></button></a> <a href="https://f.oaes.cc/special/1517.zip" target="_blank" data-v-689343a6><button type="button" class="el-button el-button--default el-button--mini" data-v-689343a6><span><i class="iconfont icon-xiazai1" data-v-689343a6></i> Download All Articles</span></button></a> </div> <div class="ar_p" data-v-689343a6><p data-v-689343a6> A Special Issue of <a href="/" class="nuxt-link-active" data-v-689343a6><i data-v-689343a6>Intelligence & Robotics</i></a></p> <p data-v-689343a6><span class="T_Print" data-v-689343a6>ISSN 2770-3541 (Online)</span></p> <p data-v-689343a6> Submission deadline: <span class="T_Deadline" data-v-689343a6>1 Jul 2024</span></p></div></div></div> <div class="t_public" data-v-689343a6><h2 class="t_title" data-v-689343a6>Guest Editor(s)</h2> <div class="auther_list" data-v-689343a6><div class="auther_item" data-v-689343a6><div class="auther_tit" data-v-689343a6>Dr. Haibin Duan</div> <div class="auther_p" data-v-689343a6>School of Automation Science and Electrical Engineering, Beihang University, Beijing, China.</div> <div class="auther_btn" data-v-689343a6><span data-v-689343a6><a href="https://hbduan.buaa.edu.cn/" target="_blank" data-v-689343a6><button type="button" class="el-button el-button--text" data-v-689343a6><span>Website</span></button></a> <span class="btn_line" style="display: none;" data-v-689343a6></span></span> <span data-v-689343a6><span class="btn_line" data-v-689343a6></span> <a href="mailto:hbduan@buaa.edu.cn" data-v-689343a6><button type="button" class="el-button el-button--text" data-v-689343a6><span><i class="iconfont icon-email" data-v-689343a6></i> E-mail</span></button></a></span></div></div><div class="auther_item" data-v-689343a6><div class="auther_tit" data-v-689343a6>Dr. Jinguo Liu</div> <div class="auther_p" data-v-689343a6>Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, Liaoning, China.</div> <div class="auther_btn" data-v-689343a6><span data-v-689343a6><a href="https://people.ucas.edu.cn/~jgliu?language=en" target="_blank" data-v-689343a6><button type="button" class="el-button el-button--text" data-v-689343a6><span>Website</span></button></a> <span class="btn_line" style="display: none;" data-v-689343a6></span></span> <span data-v-689343a6><span class="btn_line" data-v-689343a6></span> <a href="mailto:liujinguo@sia.cn" data-v-689343a6><button type="button" class="el-button el-button--text" data-v-689343a6><span><i class="iconfont icon-email" data-v-689343a6></i> E-mail</span></button></a></span></div></div></div>    <h2 class="t_title" data-v-689343a6>Special Issue Introduction</h2> <div id="seo_dis" data-v-689343a6>The Special Issue on Swarm Intelligence for Robotic Systems aims to explore the cutting-edge research and applications at the intersection of swarm intelligence and robotics. Swarm intelligence, inspired by the collective behavior of social insect colonies, offers a promising approach to designing intelligent and adaptive systems. By integrating swarm intelligence principles into robotic systems, researchers are harnessing the power of decentralized cooperation, self-organization, and emergent behavior to tackle complex challenges in various domains.<br/><br/>This Special Issue serves as a platform for researchers and practitioners to share their latest advancements, methodologies, algorithms, and real-world implementations in the field of swarm intelligence for robotic systems. It covers a wide range of topics, including but not limited to swarm robotics, collective decision-making, swarm coordination, swarm communication, swarm optimization, and self-organization in robotic systems.<br/><br/>The aim of this Special Issue is to foster interdisciplinary collaboration and exchange of knowledge among researchers from swarm intelligence and robotics communities. We invite high-quality submissions of original research articles, reviews, and case studies that explore novel approaches, theoretical foundations, practical algorithms, and experimental validations related to swarm intelligence in the context of robotic systems.<br/><br/>Topics of interest for this Special Issue include, but are not limited to:<br/>● Swarm robotics and collective behaviors;<br/>● Self-reconfigure robots or self-assemble robots;<br/>● Multi-robot systems and swarm coordination;<br/>● Swarm communication and information sharing;<br/>● Swarm-based search and exploration;<br/>● Swarm optimization and task allocation;<br/>● Self-organization and adaptation in robotic swarms;<br/>● Distributed decision-making and consensus in swarm robotics;<br/>● Bio-inspired algorithms for swarm intelligence;<br/>● Real-world applications of swarm intelligence in robotics;<br/>● Ethical and safety considerations in swarm-based robotic systems.</div>  <div id="seo_tit" data-v-689343a6></div> <h2 class="t_title" data-v-689343a6>Submission Deadline</h2> <div data-v-689343a6>1 Jul 2024</div> <h2 class="t_title" data-v-689343a6>Submission Information</h2> <div class="last_t" data-v-689343a6><p data-v-689343a6>For Author Instructions, please refer to <a href="https://www.oaepublish.com/ir/author_instructions" target="_self" _href="https://www.oaepublish.com/ir/author_instructions" textvalue="https://www.oaepublish.com/ir/author_instructions">https://www.oaepublish.com/ir/author_instructions</a><br/> For Online Submission, please login at <a href="https://oaemesas.com/login?JournalId=ir&IssueId=IR230523" target="_blank" _href="https://oaemesas.com/login?JournalId=ir&IssueId=IR230523" textvalue="https://oaemesas.com/login?JournalId=ir&IssueId=IR230523">https://oaemesas.com/login?JournalId=ir&IssueId=IR230523</a> <br/> Submission Deadline: 1 Jul 2024<br/>Contacts: Yawen Jiang, Assistant Editor, <a href="mailto:assistant_editor@intellrobot.com">assistant_editor@intellrobot.com</a></p></div> </div></div></div> <div class="pubA" data-v-689343a6><h2 class="oae_header" data-v-689343a6>Published Articles</h2> <div class="line_btn" data-v-689343a6></div> <div class="data_list" data-v-689343a6><div class="article_item" data-v-013e4f74 data-v-689343a6><div data-v-013e4f74> <div class="article-abs w100" data-v-013e4f74><a href="/articles/ir.2024.04" data-v-013e4f74><div class="list_title phone-abs" data-v-013e4f74>Metropolis criterion pigeon-inspired optimization for multi-UAV swarm controller</div></a> <div class="article-block" data-v-013e4f74><span class="block-f17452" data-v-013e4f74>Open Access</span> <span class="btn_line" data-v-013e4f74></span> <span class="block-999" data-v-013e4f74>Research Article</span> <span class="btn_line" data-v-013e4f74></span> <span data-v-013e4f74>7 Mar 2024</span></div> <div class="doi_box" data-v-013e4f74> DOI: <a href="/articles/ir.2024.04" data-v-013e4f74>10.20517/ir.2024.04</a></div> <div class="article-author" data-v-013e4f74>Jinghua Guan, Hongfei Cheng</div></div> <div class="article_link2" data-v-013e4f74> Views: <i class="el-icon-loading" data-v-013e4f74></i><i class="num_n" data-v-013e4f74></i> <span class="btn_line" data-v-013e4f74></span> Downloads: <i class="el-icon-loading" data-v-013e4f74></i><i class="num_n" data-v-013e4f74></i></div> <div class="article_link" data-v-013e4f74><span data-v-013e4f74><a data-v-013e4f74><span class="color_b" data-v-013e4f74><i class="icon-download icon_right4" data-v-013e4f74></i> Download PDF</span></a></span> <span class="section_sepa" data-v-013e4f74></span> <span data-v-013e4f74><a href="/articles/ir.2024.04?to=comment" data-v-013e4f74><i class="comment-l icon-commentl iconfont icon_right4" data-v-013e4f74></i> <i class="el-icon-loading" data-v-013e4f74></i> <span data-v-013e4f74></span></a></span> <span class="section_sepa" data-v-013e4f74></span> <span data-v-013e4f74><span 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class="el-icon-remove img_btn" data-v-98672444></i></div> <div class="img" data-v-98672444><img alt="" style="transform:scale(1);" data-v-98672444> <div class="mo_btn" data-v-98672444><i class="el-icon-error img_btn" data-v-98672444></i></div></div></div></div></div><div class="article_item" data-v-013e4f74 data-v-689343a6><div data-v-013e4f74> <div class="article-abs w100" data-v-013e4f74><a href="/articles/ir.2023.37" data-v-013e4f74><div class="list_title phone-abs" data-v-013e4f74>UAV path planning based on a dual-strategy ant colony optimization algorithm</div></a> <div class="article-block" data-v-013e4f74><span class="block-f17452" data-v-013e4f74>Open Access</span> <span class="btn_line" data-v-013e4f74></span> <span class="block-999" data-v-013e4f74>Research Article</span> <span class="btn_line" data-v-013e4f74></span> <span data-v-013e4f74>20 Dec 2023</span></div> <div class="doi_box" data-v-013e4f74> DOI: <a href="/articles/ir.2023.37" data-v-013e4f74>10.20517/ir.2023.37</a></div> <div class="article-author" data-v-013e4f74>Xiaoming Mai, ... 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{layout:"oaelayoutc",data:[{IssData:{setting_value:bp,deadline:1719792000,image:"https:\u002F\u002Fi.oaes.cc\u002Fuploads\u002F20230525\u002Fe20ca0a2b2aa4ef4aad1afc5cc4f3aff.jpg",section_id:w,email:"assistant_editor@intellrobot.com",introduction:"The Special Issue on Swarm Intelligence for Robotic Systems aims to explore the cutting-edge research and applications at the intersection of swarm intelligence and robotics. Swarm intelligence, inspired by the collective behavior of social insect colonies, offers a promising approach to designing intelligent and adaptive systems. By integrating swarm intelligence principles into robotic systems, researchers are harnessing the power of decentralized cooperation, self-organization, and emergent behavior to tackle complex challenges in various domains.\u003Cbr\u002F\u003E\u003Cbr\u002F\u003EThis Special Issue serves as a platform for researchers and practitioners to share their latest advancements, methodologies, algorithms, and real-world implementations in the field of swarm intelligence for robotic systems. It covers a wide range of topics, including but not limited to swarm robotics, collective decision-making, swarm coordination, swarm communication, swarm optimization, and self-organization in robotic systems.\u003Cbr\u002F\u003E\u003Cbr\u002F\u003EThe aim of this Special Issue is to foster interdisciplinary collaboration and exchange of knowledge among researchers from swarm intelligence and robotics communities. We invite high-quality submissions of original research articles, reviews, and case studies that explore novel approaches, theoretical foundations, practical algorithms, and experimental validations related to swarm intelligence in the context of robotic systems.\u003Cbr\u002F\u003E\u003Cbr\u002F\u003ETopics of interest for this Special Issue include, but are not limited to:\u003Cbr\u002F\u003E● Swarm robotics and collective behaviors;\u003Cbr\u002F\u003E● Self-reconfigure robots or self-assemble robots;\u003Cbr\u002F\u003E● Multi-robot systems and swarm coordination;\u003Cbr\u002F\u003E● Swarm communication and information sharing;\u003Cbr\u002F\u003E● Swarm-based search and exploration;\u003Cbr\u002F\u003E● Swarm optimization and task allocation;\u003Cbr\u002F\u003E● Self-organization and adaptation in robotic swarms;\u003Cbr\u002F\u003E● Distributed decision-making and consensus in swarm robotics;\u003Cbr\u002F\u003E● Bio-inspired algorithms for swarm intelligence;\u003Cbr\u002F\u003E● Real-world applications of swarm intelligence in robotics;\u003Cbr\u002F\u003E● Ethical and safety considerations in swarm-based robotic systems.",keywords:a,sub_link:"https:\u002F\u002Foaemesas.com\u002Flogin?JournalId=ir&IssueId=IR230523",downurl:"https:\u002F\u002Ff.oaes.cc\u002Fspecial\u002F1517.zip",information:"For Author Instructions, please refer to \u003Ca href=\"https:\u002F\u002Fwww.oaepublish.com\u002Fir\u002Fauthor_instructions\" target=\"_self\" _href=\"https:\u002F\u002Fwww.oaepublish.com\u002Fir\u002Fauthor_instructions\" textvalue=\"https:\u002F\u002Fwww.oaepublish.com\u002Fir\u002Fauthor_instructions\"\u003Ehttps:\u002F\u002Fwww.oaepublish.com\u002Fir\u002Fauthor_instructions\u003C\u002Fa\u003E\u003Cbr\u002F\u003E For Online Submission, please login at \u003Ca href=\"https:\u002F\u002Foaemesas.com\u002Flogin?JournalId=ir&IssueId=IR230523\" target=\"_blank\" _href=\"https:\u002F\u002Foaemesas.com\u002Flogin?JournalId=ir&IssueId=IR230523\" textvalue=\"https:\u002F\u002Foaemesas.com\u002Flogin?JournalId=ir&IssueId=IR230523\"\u003Ehttps:\u002F\u002Foaemesas.com\u002Flogin?JournalId=ir&IssueId=IR230523\u003C\u002Fa\u003E \u003Cbr\u002F\u003E Submission Deadline: 1 Jul 2024\u003Cbr\u002F\u003EContacts: Yawen Jiang, Assistant Editor, \u003Ca href=\"mailto:assistant_editor@intellrobot.com\"\u003Eassistant_editor@intellrobot.com\u003C\u002Fa\u003E",issue_flyer:a,issn:bb,auther:[{username:"Dr. Haibin Duan",affiliation:"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China.",website:"https:\u002F\u002Fhbduan.buaa.edu.cn\u002F",email:"hbduan@buaa.edu.cn"},{username:"Dr. Jinguo Liu",affiliation:"Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, Liaoning, China.",website:"https:\u002F\u002Fpeople.ucas.edu.cn\u002F~jgliu?language=en",email:"liujinguo@sia.cn"}],autherAssist:[],autherGuest:[],autherCo:[],readurl:"https:\u002F\u002Ff.oaes.cc\u002Fread_online\u002Fspecial_issue\u002Fir\u002F1517\u002F1517.html",planned:a,article:[{date_published:1709827200,section:L,section_id:M,title:"Metropolis criterion pigeon-inspired optimization for multi-UAV swarm controller",doi:"10.20517\u002Fir.2024.04",abstract:"\u003Cp\u003EThis paper presents a new multiple unmanned aerial vehicle swarm controller based on Metropolis criterion. This paper presents the design of a controller, utilizing the improved Metropolis criterion pigeon-inspired optimization (IMCPIO) and proportional-integrational-derivative (PID) algorithms, and conducts comparative experiments. Simulation outcomes demonstrate the enhanced performance of the multi-unmanned aerial vehicle formation controller, which is based on IMCPIO, when compared to the basic pigeon-inspired optimization (PIO) algorithm and the genetic algorithm. The IMCPIO algorithm for the energy difference discrimination makes it a faster convergence and more stable effective optimization. Hence, the controller introduced in this study proves to be both practical and resilient.\u003C\u002Fp\u003E",pdfurl:"https:\u002F\u002Ff.oaes.cc\u002Fxmlpdf\u002Ff2a83f37-74d6-47bd-8e77-a71f43a2dbc5\u002Fir4004.pdf",elocation_id:b,fpage:61,article_id:6634,viewed:f,downloaded:f,video_url:b,volume:d,year:2024,tag:"61-73",image:s,authors:bq,video_img:a,journal_path:p,lpage:73,author:bq,specialissue:{id:w,name:A},specialinfo:a,url_doi:"ir.2024.04"},{date_published:1703088000,section:L,section_id:M,title:"UAV path planning based on a dual-strategy ant colony optimization algorithm",doi:"10.20517\u002Fir.2023.37",abstract:"\u003Cp\u003EWith the rapid development of modern communication and automatic control technologies, unmanned aerial vehicles (UAVs) have increasingly gained importance in both military and civilian domains. Path planning, a critical aspect for achieving autonomous aerial navigation, has consistently been a focal point in UAV research. However, traditional ant colony algorithms need to be improved for the drawbacks of susceptibility to local optima and weak convergence capabilities. Consequently, a novel path planning methodology is proposed based on a dual-strategy ant colony algorithm. In detail, an improved state transition probability rule is introduced, redefining ant movement rules by integrating the state transition strategy of deterministic selection during the iterative process. Additionally, heuristic information on adjacent node distance and mountain height is added to further improve the search efficiency of the algorithm. Then, a new dynamically adjusted pheromone update strategy is proposed. The update strategy is continuously adjusted during the iteration process, which is beneficial to the algorithm’s global search in the early stage and accelerated convergence in the later stage, preventing the algorithm from falling into local optimality and improving its convergence. Based on the above improvements, a new variation of ant colony optimization (ACO) called dual-strategy ACO algorithm is formed. Experimental results prove that dual-strategy ACO has superior global search capabilities and convergence characteristics from four key aspects: path length, fitness values, iteration number, and running time.\u003C\u002Fp\u003E",pdfurl:"https:\u002F\u002Ff.oaes.cc\u002Fxmlpdf\u002Fe37f9659-d974-440e-8cb1-ff98344d3663\u002Fir3037.pdf",elocation_id:b,fpage:666,article_id:6379,viewed:f,downloaded:f,video_url:b,volume:h,year:N,tag:"666-84",image:s,authors:br,video_img:a,journal_path:p,lpage:684,author:br,specialissue:{id:w,name:A},specialinfo:a,url_doi:"ir.2023.37"},{date_published:1700668800,section:L,section_id:M,title:"Event-triggered consensus control method with communication faults for multi-UAV",doi:"10.20517\u002Fir.2023.32",abstract:"\u003Cp\u003EThis paper investigates the event-triggered consensus for a group of unmanned aerial vehicles (UAVs) with communication faults under the assumption that the position sensors of some individuals are damaged. The objective is to make the UAV group reach consensus in urgent tasks such as obstacle avoidance or evasion. Using the Lyapunov stability theory, sufficient conditions to achieve system consensus are given based on different velocity and position interaction topologies. Considering the limited capabilities of sensors and processors, an event-triggered consensus protocol is adopted to reduce the sampling frequency. Finally, simulation results illustrate the effectiveness of our approach.\u003C\u002Fp\u003E",pdfurl:"https:\u002F\u002Ff.oaes.cc\u002Fxmlpdf\u002Ff541efde-fe8f-42b5-b361-6a35363734a1\u002Fir3032.pdf",elocation_id:b,fpage:596,article_id:6219,viewed:c,downloaded:f,video_url:b,volume:h,year:N,tag:"596-613",image:s,authors:bs,video_img:a,journal_path:p,lpage:613,author:bs,specialissue:{id:w,name:A},specialinfo:a,url_doi:"ir.2023.32"},{date_published:1698681600,section:L,section_id:M,title:"Heterogeneous multi-agent task allocation based on graph neural network ant colony optimization algorithms",doi:"10.20517\u002Fir.2023.33",abstract:"\u003Cp\u003EHeterogeneous multi-agent task allocation is a key optimization problem widely used in fields such as drone swarms and multi-robot coordination. This paper proposes a new paradigm that innovatively combines graph neural networks and ant colony optimization algorithms to solve the assignment problem of heterogeneous multi-agents. The paper introduces an innovative Graph-based Heterogeneous Neural Network Ant Colony Optimization (GHNN-ACO) algorithm for heterogeneous multi-agent scenarios. The multi-agent system is composed of unmanned aerial vehicles, unmanned ships, and unmanned vehicles that work together to effectively respond to emergencies. This method uses graph neural networks to learn the relationship between tasks and agents, forming a graph representation, which is then integrated into ant colony optimization algorithms to guide the search process of ants. Firstly, the algorithm in this paper constructs heterogeneous graph data containing different types of agents and their relationships and uses the algorithm to classify and predict linkages for agent nodes. Secondly, the GHNN-ACO algorithm performs effectively in heterogeneous multi-agent scenarios, providing an effective solution for node classification and link prediction tasks in intelligent agent systems. Thirdly, the algorithm achieves an accuracy rate of 95.31% in assigning multiple tasks to multiple agents. It holds potential application prospects in emergency response and provides a new idea for multi-agent system cooperation.\u003C\u002Fp\u003E",pdfurl:"https:\u002F\u002Ff.oaes.cc\u002Fxmlpdf\u002F17af414c-9afb-432e-8e3c-e22a3f9d4392\u002Fir3033.pdf",elocation_id:b,fpage:581,article_id:6251,viewed:f,downloaded:f,video_url:b,volume:h,year:N,tag:"581-95",image:s,authors:bt,video_img:a,journal_path:p,lpage:595,author:bt,specialissue:{id:w,name:A},specialinfo:a,url_doi:"ir.2023.33"},{date_published:1698422400,section:L,section_id:M,title:"Cooperative search for moving targets with the ability to perceive and evade using multiple UAVs",doi:"10.20517\u002Fir.2023.30",abstract:"\u003Cp\u003EThis paper focuses on the problem of regional cooperative search using multiple unmanned aerial vehicles (UAVs) for targets that have the ability to perceive and evade. When UAVs search for moving targets in a mission area, the targets can perceive the positions and flight direction of UAVs within certain limits and take corresponding evasive actions, which makes the search more challenging than traditional search problems. To address this problem, we first define a detailed motion model for such targets and design various search information maps and their update methods to describe the environmental information based on the prediction of moving targets and the search results of UAVs. We then establish a multi-UAV search path planning optimization model based on the model predictive control, which includes various newly designed objective functions of search benefits and costs. We propose a priority-encoded improved genetic algorithm with a fine-adjustment mechanism to solve this model. The simulation results show that the proposed method can effectively improve the cooperative search efficiency, and more targets can be found at a much faster rate compared to traditional search methods.\u003C\u002Fp\u003E",pdfurl:"https:\u002F\u002Ff.oaes.cc\u002Fxmlpdf\u002Feae351ed-07a4-4292-b118-78b2879997eb\u002Fir3030.pdf",elocation_id:b,fpage:538,article_id:5988,viewed:x,downloaded:f,video_url:b,volume:h,year:N,tag:"538-64",image:s,authors:bu,video_img:a,journal_path:p,lpage:564,author:bu,specialissue:{id:w,name:A},specialinfo:a,url_doi:"ir.2023.30"},{date_published:1695571200,section:"Review",section_id:935,title:"Examining application-specific resiliency implementations in UAV swarm scenarios",doi:"10.20517\u002Fir.2023.27",abstract:"\u003Cp\u003EThe number of real-world scenarios where the use of an unmanned aerial vehicle (UAV) swarm is beneficial has greatly increased in recent years. From precision agriculture to forest fire monitoring, post-disaster search and rescue applications, to military use, the applications are widespread. While it is a perceived requirement that all UAV swarms be inherently resilient, in reality, it is often not so. The incorporation of resilient mechanisms depends on an application usage scenario. This study examines a comprehensive range of application scenarios for UAV swarms to bring forward the multitude of components that work together to provide a measure of resilience to the overall swarm. A three-category scheme is used to classify swarm applications. While systemic resilience is an interconnected concept, most real-world applications of UAV swarm research focus on making certain components resilient to disturbances. A broad categorization of UAV swarm applications, categorized by recognized components and modules, is presented, and prevalent approaches for novel resilience mechanisms in each category are discussed.\u003C\u002Fp\u003E",pdfurl:"https:\u002F\u002Ff.oaes.cc\u002Fxmlpdf\u002F65f76d88-d3c0-47f9-9285-b32484ec9b14\u002Fir3027.pdf",elocation_id:b,fpage:453,article_id:6159,viewed:176,downloaded:O,video_url:b,volume:h,year:N,tag:"453-78",image:s,authors:bv,video_img:a,journal_path:p,lpage:478,author:bv,specialissue:{id:w,name:A},specialinfo:a,url_doi:"ir.2023.27"}]},metaData:{title:bp,keywords:a,description:"Guest Editor: Haibin Duan,A Special Issue of Intelligence & Robotics,Topic: Swarm Intelligence for Robotic Systems,Special Issue Introduction:The Special Issue on Swarm Intelligence for Robotic Systems aims to explore the cutting-edge research and applications at the intersection of swarm intelligence and robotics. Swarm intelligence, inspired by the collective behavior of social insect colonies, offers a promising approach to designing intelligent and adaptive systems. By integrating swarm intelligence principles into robotic systems, researchers are harnessing the power of decentralized cooperation, self-organization, and emergent behavior to tackle complex challenges in various domains.This Special Issue serves as a platform for researchers and practitioners to share their latest advancements, methodologies, algorithms, and real-world implementations in the field of swarm intelligence for robotic systems. It covers a wide range of topics, including but not limited to swarm robotics, collective decision-making, swarm coordination, swarm communication, swarm optimization, and self-organization in robotic systems.The aim of this Special Issue is to foster interdisciplinary collaboration and exchange of knowledge among researchers from swarm intelligence and robotics communities. We invite high-quality submissions of original research articles, reviews, and case studies that explore novel approaches, theoretical foundations, practical algorithms, and experimental validations related to swarm intelligence in the context of robotic systems.Topics of interest for this Special Issue include, but are not limited to:● Swarm robotics and collective behaviors;● Self-reconfigure robots or self-assemble robots;● Multi-robot systems and swarm coordination;● Swarm communication and information sharing;● Swarm-based search and exploration;● Swarm optimization and task allocation;● Self-organization and adaptation in robotic swarms;● Distributed decision-making and consensus in swarm robotics;● Bio-inspired algorithms for swarm intelligence;● Real-world applications of swarm intelligence in robotics;● Ethical and safety considerations in swarm-based robotic systems."}}],fetch:{"oaelayoutc:0":{qKname:p,component:bc,screenwidth:a}},error:b,state:{token:a,index:{data:{data:{footer:{},info:{},middle:{},nav:{},top:{}}},oaeNav:[{name:bw,sort:i,children:[{name:"Company",sort:i,url:"\u002Fabout\u002Fwho_we_are"},{name:"Latest News",sort:j,url:"\u002Fnews"},{name:bd,sort:k,url:"\u002Fabout\u002Fcontact_us"},{name:"History",sort:n,url:"\u002Fabout\u002Fhistory"},{name:"Careers",sort:o,url:"\u002Fabout\u002Fjoin_us"},{name:"Policies",sort:q,children:[{name:bx,sort:i,url:"\u002Fabout\u002Feditorial_policies"},{name:"Open Access Policy",sort:j,url:"\u002Fabout\u002Fopen_access_policy"},{name:"Research and Publication Ethics",sort:k,url:"\u002Fabout\u002Fresearch_and_publication_ethics"},{name:"Peer-review Policies",sort:n,url:"\u002Fabout\u002Fpeer_review_policies"},{name:"Publication Fees",sort:o,url:"\u002Fabout\u002Fpublication_fees"},{name:"Advertising 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FdttNtaSyEKDMJopfA1GgVrhUKpUgPIqR\u002FE6g64COkqJJE6SxyKrxyRuskciMLq8boSrowNwQSCPfLnjkHHXU1lZGZHUhwaEHBB9CPI9cve+q9Yppo6eGWombRDBFJNK5+iRxKXdj\u002FwVVJ91Zgqsx4AV\u002FZ1eNGldI0FXYgAepOB1tV\u002Fy6ugKXov437Wq6+jjj372tT0PZO+qtkT7qOozlDDNtzbjTBRL9ptXbskFMsZJUVJqJAA0re+wH3avbqDkD2w2eSaADf8AdkS9umI7qyoDDCeJCwQlV01IEhlYU1nrjr96D3Jm9w\u002FdPeIbacnlzZmextFqdJWFyJ56cNVxOHkLcfD8JMhB1WJ\u002FNT+UmW312JWfGnaeTqKTr7r40MvZa0NUUh3vvespaTK0m28oISDU7f2ZQzQSy0zN4qnJVH7qN9onvFT73Xu9fbxzHL7X7LdPHsO36DeFWIFzcsFkWJqDuitlKkrq0tOx1qTChGW33PPaCy5e5Yg91t5tFfmXc9Ysda1NpaKzRtPHX4Zrpw6rIBqSBOxh47dVKf0H4AAA\u002FoALAD\u002FAD3hZ1mj1737r3Xvfuvde9+691\u002F\u002FUGL3wA6+hHoYOhO8N5fHPtXbfbGyFjrK7DefHZ3btTUGloN47RyUlOc7teuqAkopWqxSxT0lSUf7Wup4ZSrIHRhz7b+4G9e2HN+2837EqvNFVJoWOlbi3cgywM2dOrSGjejBJVRypAIII9x\u002Fb\u002FYvdHk7dOTOYCUt56PDMq6ntrmMN4Vwi1GoLqZJEqPEid0BDFWG150D8j+p\u002Fkvsum3d1tn4K0tCqbg2nkmp6Xd20sgVUVOJ3PgfNLPRTRO+lZRrpalSHhkkjYMewvt37m8n+6OxQ71yvuKyAr+rA9FuLd+DRzxVJUg4DCsbjuRmUg9ca\u002Fcn2t5z9qN+l2XmrbWjGqsNwmpra5T8MkE1AHBAqVxIhqsiKwI6K53b\u002FACvPjP2t\u002FE8ttPE13S28shNUVpzfXhjhwE9fUyK8s2U2HWmTbNTC\u002FqutJHQSXYkSA\u002FWJ+ffuo+1nOP1V5tdi+yb3IS3i2mIix83tW\u002FRK8cRiI1zq6l7kD73Xuxyd9JZbzex79sUShPCvamYIooBHdrSdSMUMjTLQUKkdUbfJv4Yd0fFaePI70pKLdPXddV\u002FZ4zs\u002FacNW2BjqHZft6HdmNqPLXbMyFQJAsRnkmoqhwyxVLONHvAH3X9iOePaMi83mOO85adwqXsAbwwTQBZ0NWt3JIpqLRsahJGIIHQf2m9+OQ\u002FeGNrXYZ5LPmeNNUlhcFfGKj4ntpFol0i0qwQLKgoXiCnV0VOnpUrq\u002FE46ZQ0OSzuCxdRGw4eDJZmhoKiNh+VeGoZT\u002FAIH3DcEAubqytW+GW4iQ\u002FY0iqR+YJHUySTNb217dIaPFbzSA+hSJ3B\u002FIqD1vGU1PBR08FJSxJBTUsMVPTwRjTHDBAixQxRqOFSONQAPwB778RxxwxxwxIFiRQABwAAoAPkB18+kssk8sk0rlpXYsxPEkmpJ+ZOetJffe4q\u002FeHYPY27spM9Rkt0dib6ztdUSWMks2Q3TlZk1EcftQFI1H0CoB+PfB3mbc5t75n5n3m5ctc3e5XUrk8Szzuf5YA8gAAMdd9uXdrt9j5Z5X2S0QLaWe12kKAcAEt4x\u002FM1J+ZJ6S\u002Fsl6N+ve\u002Fde697917r3v3Xuv\u002F9UYvfADr6Eeve\u002Fde6nYfK5fbmaody7ZzOY2zuXFyJLjdxbcyldg85QSRtqjNNlMbPTVaor8+MsY2\u002FtKRx7Vbff7htN9Bum0bhPabpEapNDI0UqH+i6EMPs4eo6T31nY7pYXG1btYQXe1TAh4J40licHjqjkDLX50DDyI6tA+Pf81nujrzI4zDd6Qp3BsHyQ01duCix1Fi+0cHRiyNXwfY\u002FY4HefgBLyU80NJVyhfRO7+hsuPbP73\u002FOmwXdrt\u002FuCi7vsBIDTKix3sS\u002FxDTpiuAMVV1SRuPi1wcRvcz7nHIfM1rd3\u002Ft452PmOhZIXd5LCVuOg69c1rXgrq0ka17owuRsE4DPde939b4\u002FPYebDb7617I2ytRTtPSrWYfcW3M5SNHNTV2ProQTHPBK0VRTTxrJG4aORFdWUdHbC+5e545agvrRob\u002FlrcrWo1LqjlhlWhV0ceYJV43UMpqjqGBA5p7lt3M3IHNNzt19HPt3Ne1XelqNplhniaoZHQ8QQGR0YhhRlYgg9ak3yh6lofjZ8jt99b4+Wdtr7J3XtjdW1ZKuWSoqYNjZN8Vu3E0lRUyFpauTBU5moDKxLyij1N6yffGz3a5Ng9r\u002FdLfuWbMOdqsruCe31VYi2k8OdF1EkuYlLRFjlilaZ67S+0XOlx7q+1vLvNVyijd7+znt7gKAFN3GJLaVgowomOmbSML4tBgDrcOoa2lyVFR5GhmSooshS09bR1EZvHPS1UKT08yH8pLFIGH+B99roJ4rqCG5gcNBIgZSOBVhUEfIg164eXFvNaXE9rcRlLiN2RlPEMpIYH5ggjrSy7b2bX9ddudsbCykZirtpdlb0xUiEEBqWTO1mSxFRGSBrhrcJkKaeNvoUlHvhbzxsVxyxzrzfy\u002FdRFJbTc7lM+a+KzIw\u002FoujKwPoeu8\u002FJe+2\u002FNHJXJnMdo+q3vdqtZB8mEKxyKfmkqOhHkVPSA9hfoSde9+691737r3Xvfuvdf\u002F\u002FWGL3wA6+hHp4wu3Ny7mmr6fa+2tx7pqcTi6rOZWm21g8nn6nF4Si0\u002FeZjIU+KpauakxtMXAaV1C3Nhc8e1+3bTu+8SXEWz7TdXcsMTSyCCJ5THEvxSOEVtKLUVY0HSG\u002F3TatpS2l3fdrWzimmWKNp5Y4Vklf4YkMjKGdvJQSaZNB0wwVEFShkp5o5kDFGaJ1cK6mzxvpJ0SIeGU2Kngi\u002FsuV1cVVgf9Xn6fYejGSOSJtMiFWpXIpj1HqD5HgevVFRBSwyVFTKkEEQvJLIbKoJAA\u002FJZmYgKoBZmIABJA9+Z1jUu5oo63HFJNIsUSFpDwA\u002F1ftPADJx1ti\u002Fy8Ng7u63+InU+3t70ddis7V02f3P\u002FAcnE9PX7exm7dy5fceIw1ZTSHyUlXT43JRPNCwV4JZGjZQyke+xv3bOW955V9meT9q36J4r9kmm8JwQ0MdxPJNHGVNCrBHUspAKMxUgEEdcZvvOcybJzV72c57ny\u002FPHNtyPDB40ZDJNJbQRwSyqwwytJGwVhUOoDAkEdUZfzPMtj8\u002F8z+yKemEc8OE2f11tbJEEMklfFgJs1VQtb8x0m4oUYHkEEe+f\u002FwB7G\u002Fttx97uZLeHItrO0hc+RfwfEI+0LKoPz66FfdJs7nbfYjlWWUlXuL69uE9QhmESn82hYjq5P+Wn8iKTur494XaOWr0k7F6WpcZsLdVLLIv3mQwdFSeHZG7Vj0gtS53BUghke7WyFHUqTwL5w\u002Fdd9yrfnv222\u002FaLq4B5k2RI7S4UnuaJV0209Kk6ZYl0kk1MsUlfKuC33rfbGbkL3Mv96srYjlffnkvLdgO1JWat3bV\u002FihmYsox+jLERxNCy\u002FwAzb4S7s35mV+R3TOAqdybiiw9JiO1NkYiJp87uDH4aMxYPeW26IHVlM3hqA\u002FZ1tFH+\u002FV0UcDQq0lOUliz71PsNuvMt0fcvknb2uN2SAJfWsa1lnWMUjuIlHdJLGg8N4wSXjWPQupWrLP3TPf7ZuXLE+1vPW5Ja7W07SbfdyGkULymstrO3+hxSv+rFKe2OVpBIQkmpKEEmjkaaNWIlp5XgqYJEeGppKiMlZKaspZljqaOpiYWeKVEkQ8EA++cx7XkjYUkQkMDgqQaEEHIIIIIIBB66PMjKEYjsYAqQQVZTwZWFVZT5MpIPkesnv3VOo8VXSzSNFDUQSyoXDpHKjspj0+RSFJs0esah9VBF\u002FqPbayxs2lXBbPA+nH9nn6dOvDMih3iYIfMgjjw\u002FbQ09aHqR7c6a6\u002F\u002FXGL3wA6+hHq5f+UJvbp\u002FZuT7got3b42zt3s\u002FeuR2tj9s4TcFRFh6vJ7P2\u002FQVlQWwmTr5IaHKTVGfzdQJaOFzUxeBHZCrqRnR9y3feS9lm50t933+2tuab2WBYYpmEZe3iRjWF3IRy8sj6olPiDwwxBUimCn32tg533215HuNl5fu7rlKwiuHnlhUyrHczOo\u002FVjQF4wsMSaZWGhtbKCCpHVsfYfw3+K\u002Fb2Ubcm+ekthZ3NVf70+fo6B8HlMgZLuJ63KbaqcTV5F31X1yySEi3Nre8w+ZfZT2l50uW3HmDkXb7i8ky0qoYnfzq8kDRtIc8WLH59YZ8se+fvDyTZjauXuf8AcrewTAhZxLGlMUWOdZFQD0UKPl007E+C\u002FwASOtdyY7d+z+jNn0G5MRL9xisrkTmNyTYyqX9FZQR7mymYp6SthPMc0aLLGwurAgH2j5d9gfZ3lTcoN32LkGyi3GI1R38SYow4MonkkVWHFWADKcgg9LOYvvDe9PNW1XWyb57hX0m1TjTJGnhwCRfNXMEcTMh\u002FEhJVhggjoOvlx8+urPjdgq\u002FCYDI4nsPuetopV27sPE18dbR4iqkBjgzXYGQoJXXbuBo3PkMBZa+usI6eP1NNEG\u002FeP7w\u002FKHtfYXFlZXcO486vGfBtI2DiNuAkumQ\u002FpRqSDoJEsuFQAFpEF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Antonio Medrano'\u003E\u003C\u002Fa\u003E","About","Editorial Policies","Journals","Academic Talks","Biology & Life Science","Chemistry & Materials Science","Computer Science & Engineering","\u002Fir","Medicine & Public Health","10","Environmental Science","#837fbc","ISSN 2769-5301 (Online)","https:\u002F\u002Fi.oaes.cc\u002Fuploads\u002F20231218\u002F6135b005a8674b878a7d1a5c91ac9869.jpg","https:\u002F\u002Fwww.oaepublish.com\u002Fand","Wei-Dong Le","CAS, Dimensions, Lens, CNKI","rgb(99,94,171)","https:\u002F\u002Fi.oaes.cc\u002Fupload\u002Fjournal_logo\u002Fand.jpg","and","#030072","ISSN 2771-0408 (Online)","https:\u002F\u002Fi.oaes.cc\u002Fuploads\u002F20231110\u002F14bc775310574f91b457ff09d6c6d950.jpg","https:\u002F\u002Fwww.oaepublish.com\u002Fais","Andrew A. 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Martin-Moreno","rgb(67,176,42)","https:\u002F\u002Fi.oaes.cc\u002Fupload\u002Fjournal_logo\u002Fohir.jpg",105,"ohir","#c45284","ISSN 2349-6150 (Online)\u003Cbr\u003EISSN 2347-9264 (Print)","https:\u002F\u002Fi.oaes.cc\u002Fuploads\u002F20231110\u002F8d72c3f669d5490ea3b9abc424d66cb6.jpg","https:\u002F\u002Fwww.oaepublish.com\u002Fpar","Wen-Guo Cui","520","rgb(196,82,132)","ESCI, Scopus, Dimensions, CNKI, Lens, Wanfang","https:\u002F\u002Fi.oaes.cc\u002Fupload\u002Fjournal_logo\u002Fpar.jpg","https:\u002F\u002Fi.oaes.cc\u002Fuploads\u002F20240607\u002F9bbbcad710cf457e85d63b1811faefb1.png","https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F21101111784","https:\u002F\u002Fclarivate.com\u002Fproducts\u002Fscientific-and-academic-research\u002Fresearch-discovery-and-workflow-solutions\u002Fwebofscience-platform\u002Fweb-of-science-core-collection\u002Femerging-sources-citation-index\u002F","par",620,"#d62598","ISSN 2771-2893 (Online)","https:\u002F\u002Fi.oaes.cc\u002Fuploads\u002F20231121\u002F6ee75e8ab583446b90c97865c2c68464.jpg","https:\u002F\u002Fwww.oaepublish.com\u002Frdodj","Daniel Scherman","28","Dimensions, Lens","rgb(214,37,152)","https:\u002F\u002Fi.oaes.cc\u002Fupload\u002Fjournal_logo\u002Frdodj.jpg",106,"rdodj",78,"#1f4e79","ISSN 2769-5441 (Online)","https:\u002F\u002Fi.oaes.cc\u002Fuploads\u002F20231110\u002F98e2ed5023ee466c8890d749bfd97597.jpg","https:\u002F\u002Fwww.oaepublish.com\u002Fss","YongAn Huang","58","ESCI, Scopus, CAS, Lens, Dimensions, CNKI","rgb(31,78,121)","https:\u002F\u002Fi.oaes.cc\u002Fupload\u002Fjournal_logo\u002Fss.jpg",107,"https:\u002F\u002Fi.oaes.cc\u002Fuploads\u002F20240606\u002Fcfa200290630438c8e3a3cae1536af37.png","https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F21101178114","ss",54,"#a96318","https:\u002F\u002Fi.oaes.cc\u002Fimages_2018\u002Foae\u002Fcover_sh.jpg","https:\u002F\u002Fwww.oaepublish.com\u002Fsh","Manoj Shukla","rgb(169,99,24)","https:\u002F\u002Fi.oaes.cc\u002Fupload\u002Fjournal_logo\u002Fsh.jpg",108,"sh","#4475e1","https:\u002F\u002Fi.oaes.cc\u002Fuploads\u002F20231218\u002F79ccda0bc909441587a0b70e0a8ef1cc.jpg","https:\u002F\u002Fwww.oaepublish.com\u002Fsmpo","Madjid Tavana","rgb(68,117,225)","https:\u002F\u002Fi.oaes.cc\u002Fupload\u002Fjournal_logo\u002Fsmpo.jpg",109,"smpo","#53be9b","ISSN 2573-0002 (Online)","https:\u002F\u002Fi.oaes.cc\u002Fuploads\u002F20231218\u002F54ba11ec5c57448a84169c318bb94fd4.jpg","https:\u002F\u002Fwww.oaepublish.com\u002Fsds","Nikolaos G. Nikitakis","40","rgb(62,163,130)","https:\u002F\u002Fi.oaes.cc\u002Fupload\u002Fjournal_logo\u002Fsds.jpg",110,"sds","#0038a0","ISSN 2768-5993 (Online)","https:\u002F\u002Fi.oaes.cc\u002Fuploads\u002F20231113\u002F695c0f0de82c43f189957ff572f0798c.jpg","https:\u002F\u002Fwww.oaepublish.com\u002Fjca","89","rgb(0,56,160)","https:\u002F\u002Fi.oaes.cc\u002Fupload\u002Fjournal_logo\u002Fjca.png","https:\u002F\u002Fi.oaes.cc\u002Fuploads\u002F20240611\u002Fd7d617bceee246428da2ed07a84efd5e.png","https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F21101176723","https:\u002F\u002Fwww.oaepublish.com\u002Fnews\u002Fjca.838","jca",129,36,"#db6868","ISSN 2574-1209 (Online)","https:\u002F\u002Fi.oaes.cc\u002Fuploads\u002F20231110\u002Fe64051237c8a454085bb02abfdc6dd12.jpg","https:\u002F\u002Fwww.oaepublish.com\u002Fvp","290","CAS, Scopus, CNKI, Dimensions, 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width: 100%; text-align: center; padding-top: 100px; } #noIe .logo { height: 24px; } @media screen and (max-width: 820px) { #noIe .container { width: 432px; left: 50%; margin-left: -216px; margin-top: 48px; position: relative; top: 0; } #noIe .container ul { width: 290px; height: 352px; margin-left: -30px; margin-top: 40px; } #noIe .container li { margin-left: 30px; margin-top: 24px; } #noIe .logo-container { padding-top: 121px; padding-bottom: 20px; } } </style> <div class="container"> <p class="title">The current browser is not compatible</p> <p class="title2">The following browsers are recommended for the best use experience</p> <ul> <li> <a href="https://www.google.cn/chrome/" target="_blank"> <img src="https://gw.alicdn.com/imgextra/i2/O1CN01Nn0IoE1cmXZ6gFiM3_!!6000000003643-2-tps-230-230.png" /> <p>Chrome</p> </a> </li> <li> <a href="http://www.firefox.com.cn/" target="_blank"> <img src="https://gw.alicdn.com/imgextra/i3/O1CN01P8aqdX1HdHczGialK_!!6000000000780-2-tps-230-230.png" 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" 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