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It emphasizes their practical applications across engineering disciplines including planning, design, manufacturing, and operational processes. The journal’s policy considers optimization as any formal numerical process aimed at enhancing technical performance and fostering innovation within engineering domains. While its primary focus lies on algorithms for numerical optimization, the journal also encourages submissions utilizing methodologies from operations research, decision support, statistical decision theory, systems theory, logical inference, knowledge-based systems, generative artificial intelligence, machine/deep learning, information theory, quantum computing, quantum information processing, and other cutting-edge techniques relevant to optimization in decision-making processes. For example, within the realm of artificial intelligence, the journal welcomes academic papers that explore how artificial intelligence methodologies enhance numerical optimization algorithms or propose innovative artificial intelligence methods to solve engineering optimization challenges. Innovation in optimization is a fundamental requirement for all submissions, alongside a strong emphasis on engineering applicability. Engineering Optimization strives to encompass all disciplines within the engineering community, with main focus on environmental, civil, mechanical, manufacturing, aerospace, and industrial engineering. The journal invites papers that explore both theoretical research and practical industrial applications, demonstrating clear advancements in state-of-the-art formal optimization processes through innovative developments. All submitted manuscripts undergo initial evaluation by the Editors. If deemed suitable for further consideration, they are subjected to peer review by independent, anonymous expert referees. The peer review process is single-blind, and submissions are managed through our Submission Portal. </pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-08-11</div> </div> </div>  <div class="portlet" id="yw3"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-file"></i> Related Journals</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw4" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw4_c0">CCF</th><th id="yw4_c1">Full Name</th><th id="yw4_c2">Impact Factor</th><th id="yw4_c3">Publisher</th><th id="yw4_c4">ISSN</th></tr> </thead> <tbody> <tr class="odd"> <td></td><td><a href="/journal/305">International Journal of E-Entrepreneurship and Innovation</a></td><td> </td><td>IGI Global</td><td>1947-8585</td></tr> <tr class="even"> <td></td><td><a href="/journal/650">Journal of Computer Networks and 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title="/journal/829"><span>4379</span><span>1137</span><span>1949</span><span>3012</span><span>3446</span><span>3557</span><span>3602</span><span>1637</span><span>3793</span><span>1257</span></div> </div></div> </div> </div> <div class="portlet" id="yw9"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-eye-open"></i> Recommendation</div> </div> <div class="portlet-content"> <div align="center"> <script async src="//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script>  <ins class="adsbygoogle" style="display:block" data-ad-client="ca-pub-6743617430731451" data-ad-slot="1870704128" data-ad-format="autorelaxed"></ins> <script> (adsbygoogle = window.adsbygoogle || []).push({}); </script> </div> </div> </div> </div> <div class="span2 hidden-phone"> <div class="sidebar-nav"> <ul id="yw10"> <li><a href="http://www.myhuiban.com/journal/track/id/829"><i class="icon icon-plus"></i>   Track It <span class="badge badge-warning 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