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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Veröffentlicht in:	International transactions on electrical energy systems Jg. 2022; S. 1 - 18
Hauptverfasser:	Saveca, John, Sun, Yanxia, Wang, Zenghui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Hindawi 26.03.2022 John Wiley & Sons, Inc
Schlagworte:	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
Online-Zugang:	Volltext
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