Multiobjective Particle Swarm Optimization
Multiobjective Particle Swarm Optimization is a metaheuristic optimization algorithm that extends the basic Particle Swarm Optimization framework by incorporating mechanisms to simultaneously solve multiple conflicting objectives and maintain a set of nondominated solutions in the search space.
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MopsoMulti-objective Particle Swarm Optimization
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SMPSO: A new PSO-based metaheuristic for multi-objective optimization
Antonio J. Nebro, Juan J. Durillo, José García-Nieto et al. · 2009 · 645 citations · Full text
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Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico
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University of Tehran
Tehran, Iran
26 h-index
121 publications
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Iran University of Science and Technology
Tehran, Iran
20 h-index
52 publications
2.3K citations

Huazhong University of Science and Technology
Wuhan, China
18 h-index
73 publications
3K citations
Amirkabir University of Technology
Tehran, Iran
17 h-index
32 publications
1.7K citations

Chinese Academy of Sciences
Beijing, China
17 h-index
56 publications
2.4K citations

Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
Mexico City, Mexico
16 h-index
27 publications
7.3K citations
Indian Institute of Technology Kharagpur
Kharagpur, India
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36 publications
2.9K citations

Beijing University of Technology
Beijing, China
15 h-index
54 publications
3.5K citations
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