A Hyper-Heuristic Collaborative Multi-objective Evolutionary Algorithm

Many-objective optimization problems (MaOPs) are a great challenge for multi-objective evolutionary algorithms (MOEAs) and lately, several MOEAs have been proposed. Each MOEA uses different algorithmic components during the search process and performs differently. Therefore, there is no single algor...

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Vydané v:	2018 7th Brazilian Conference on Intelligent Systems (BRACIS) s. 354 - 359
Hlavní autori:	Fritsche, Gian, Pozo, Aurora
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2018
Predmet:	Benchmark testing Collaboration distribution fitness improvement rate hyper-heuristic many-objective Measurement Optimization Search problems Sociology Statistics
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