A differential evolution algorithm for dynamic multi-objective optimization

Dynamic multi-objective optimization problems are widespread in real life. Artificial equivalents of the problems are abound in literature. Evolutionary algorithms are nature-inspired search algorithms used in finding optimal trade-off solutions of dynamic multi-objective optimization problems. This...

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Vydané v:	SSCI : 2017 IEEE Symposium Series on Computational Intelligence : November 27, 2017-December 1, 2017 s. 1 - 10
Hlavní autori:	Adekunle, R. Adekoya, Helbig, Marde
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.11.2017
Predmet:	Algorithm design and analysis Heuristic algorithms Optical fibers Optimization Sociology Sorting Statistics
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