Many Objective Particle Swarm Optimization

Many-objective problems refer to the optimization problems containing more than three conflicting objectives. To obtain a representative set of well-distributed non-dominated solutions close to Pareto front in the objective space remains a challenging problem. Many papers have proposed different Mul...

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Veröffentlicht in:	Information sciences Jg. 374; S. 115 - 134
Hauptverfasser:	Figueiredo, E.M.N., Ludermir, T.B., Bastos-Filho, C.J.A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 20.12.2016
Schlagworte:	Algorithms Convergence Evolutionary algorithms Many-objective problems Multi-Objective Evolutionary Algorithms Multiple objective analysis Optimization Pareto optimality Particle Swarm Optimization Search process Swarm intelligence Swarm intelligence Multi-Objective Evolutionary Algorithms Particle Swarm Optimization Many-objective problems
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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