Search results for: Dong-Mei Pan

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class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Dong-Mei Pan"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 1</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Dong-Mei Pan</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Multi-Objective Random Drift Particle Swarm Optimization Algorithm Based on RDPSO and Crowding Distance Sorting</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Yiqiong%20Yuan">Yiqiong Yuan</a>, <a href="https://publications.waset.org/search?q=Jun%20Sun"> Jun Sun</a>, <a href="https://publications.waset.org/search?q=Dongmei%20Zhou"> Dongmei Zhou</a>, <a href="https://publications.waset.org/search?q=Jianan%20Sun"> Jianan Sun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we presented a Multi-Objective Random Drift Particle Swarm Optimization algorithm (MORDPSO-CD) based on RDPSO and crowding distance sorting to improve the convergence and distribution with less computation cost. MORDPSO-CD makes the most of RDPSO to approach the true Pareto optimal solutions fast. We adopt the crowding distance sorting technique to update and maintain the archived optimal solutions. Introducing the crowding distance technique into MORDPSO can make the leader particles find the true Pareto solution ultimately. The simulation results reveal that the proposed algorithm has better convergence and distribution. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Multi-objective%20optimization" title="Multi-objective optimization">Multi-objective optimization</a>, <a href="https://publications.waset.org/search?q=random%20drift%20particle%0D%0Aswarm%20optimization" title=" random drift particle swarm optimization"> random drift particle swarm optimization</a>, <a href="https://publications.waset.org/search?q=crowding%20distance" title=" crowding distance"> crowding distance</a>, <a href="https://publications.waset.org/search?q=Pareto%20optimal%20solution." title=" Pareto optimal solution."> Pareto optimal solution.</a> </p> <a href="https://publications.waset.org/10004209/multi-objective-random-drift-particle-swarm-optimization-algorithm-based-on-rdpso-and-crowding-distance-sorting" class="btn btn-primary btn-sm">Procedia</a> <a 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Search results for: Dong-Mei Pan