A Hybrid Multiobjective Optimization Based on Nondominated Sorting and Crowding Distance, with Applications to Wave Energy Converters

Multiobjective evolutionary algorithm based on decomposition (MOEA/D) has attracted a lot of attention since it can handle multiobjective problems (MOP) with a complicated Pareto front. The procedure involves decomposing a MOP into single subproblems, which are eventually optimized simultaneously ba...

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Vydané v:	International transactions on electrical energy systems Ročník 2022; s. 1 - 18
Hlavní autori:	Saveca, John, Sun, Yanxia, Wang, Zenghui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken Hindawi 26.03.2022 John Wiley & Sons, Inc
Predmet:	Algorithms Complexity Crowding Decomposition Electricity distribution Energy Evolutionary algorithms Evolutionary computation Genetic algorithms Maintenance costs Multiple objective analysis Ocean waves Operators (mathematics) Optimization Pareto optimization Pareto optimum Particle swarm optimization Performance evaluation Sorting algorithms Wave energy Wave power
ISSN:	2050-7038, 2050-7038
On-line prístup:	Získať plný text
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