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Volumn , Issue , 2012, Pages 166-171

I-MOPSO: A suitable PSO algorithm for many-objective optimization

Author keywords

Many Objective Optimization; Multi Objective Optimization; Multi Objective Particle Swarm Optimization

Indexed keywords

EMPIRICAL ANALYSIS; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; MULTI OBJECTIVE OPTIMIZATIONS (MOO); MULTI OBJECTIVE PARTICLE SWARM OPTIMIZATION; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; OBJECTIVE FUNCTIONS; PARETO FRONT; PSO ALGORITHMS; QUALITY INDICATORS;

EID: 84873198540     PISSN: 15224899     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SBRN.2012.20     Document Type: Conference Paper
Times cited : (24)

References (16)
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  • 5
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    • Adra, S.1    Fleming, P.2
  • 6
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    • Using archiving methods to control convergence and diversity for many-objective problems in particle swarm optimization
    • june
    • A. Britto and A. Pozo, "Using archiving methods to control convergence and diversity for many-objective problems in particle swarm optimization," in Evolutionary Computation (CEC), 2012 IEEE Congress on, june 2012, pp. 605-612.
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  • 7
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    • Empirical comparison of mopso methods-Guide selection and diversity preservation-Guide s
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  • 9
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    • A fast and elitist multiobjective genetic algorithm: NSGA-II
    • DOI 10.1109/4235.996017, PII S1089778X02041012
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    • Mostaghim, S.1    Schmeck, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.