A hybrid multi-objective evolutionary algorithm with feedback mechanism

Exploration and exploitation are two cornerstones for multi-objective evolutionary algorithms (MOEAs). To balance exploration and exploitation, we propose an efficient hybrid MOEA (i.e., MOHGD) by integrating multiple techniques and feedback mechanism. Multiple techniques include harmony search, gen...

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Vydané v:	Applied intelligence (Dordrecht, Netherlands) Ročník 48; číslo 11; s. 4149 - 4173
Hlavní autori:	Lu, Chao, Gao, Liang, Li, Xinyu, Zeng, Bing, Zhou, Feng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.11.2018 Springer Nature B.V
Predmet:	Artificial Intelligence Computer Science Convergence Evolutionary algorithms Exploitation Exploration Feedback Genetic algorithms Machines Manufacturing Mechanical Engineering Multiple objective analysis Pareto optimum Processes Searching Strategy Differential evolution Feedback mechanism Hybrid selection mechanism Harmony search Multi-objective evolutionary algorithm
ISSN:	0924-669X, 1573-7497
On-line prístup:	Získať plný text
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