A Modified Multi-Objective Particle Swarm Optimization Based on Levy Flight and Double-Archive Mechanism

In the past few decades, multi-objective particle swarm optimization (PSO) has increasingly attracted attention from scientists. To obtain a set of more accurate and well-distributed solutions, many variations of multi-objective PSO algorithms have been proposed. However, for complicated multi-objec...

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Vydané v:	IEEE access Ročník 7; s. 183444 - 183467
Hlavní autori:	Guan, Tianhua, Han, Fei, Han, Henry
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Acceleration Algorithms Archives & records Benchmark testing Convergence double-archive mechanism Falling levy flight Multi-objective optimization Multiple objective analysis Optimization Pareto optimization Particle swarm optimization Search problems Searching
ISSN:	2169-3536, 2169-3536
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