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MOPSO

swMATH ID: 18795
Software Authors: Coello, C.A.C., Lechuga, M.S.
Description: MOPSO: a proposal for multiple objective particle swarm optimization. This paper introduces a proposal to extend the heuristic called ”particle swarm optimization” (PSO) to deal with multiobjective optimization problems. Our approach uses the concept of Pareto dominance to determine the flight direction of a particle and it maintains previously found nondominated vectors in a global repository that is later used by other particles to guide their own flight. The approach is validated using several standard test functions from the specialized literature. Our results indicate that our approach is highly competitive with current evolutionary multiobjective optimization techniques.
Homepage: http://dl.acm.org/citation.cfm?id=1252327
Related Software: SPEA2; MOEA/D; HypE; SMPSO; SMS-EMOA; PlatEMO; NBI; GDE3; RM-MEDA; NSPSO; Matlab; XFOIL; MOMBI; MOPED; MultiGLODS; EGO; jMetal; UCI-ml; PAES; Adam
Referenced in: 52 Publications
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Referenced by 160 Authors

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1 Al-Dujaili, Abdullah
1 Albanez Bastos-Filho, Carmelo José
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1 Banks, Alec
1 Bartlett, Edward L.
1 Behravan, Iman
1 Bernt, Matthias
1 Bhattacharjee, Prasun
1 Brits, Rudi M.
1 Cai, Guoping
1 Cao, Minhao
1 Chakraborty, Prithwish
1 Chen, Hanning
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1 Deb, Kalyanmoy
1 Dehghantanha, Oveis
1 Devika, K.
1 Ding, Jianwan
1 Dozier, Gerry V.
1 Duan, Qibin
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1 Engelbrecht, Andries Petrus
1 Fan, Jing
1 Feng, Jiqiang
1 Feng, Ting-Cheng
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1 Ghédira, Khaled
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1 Mu, Caihong
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