Comparative Study of CEC’2013 Problem Using Dual Population Genetic Algorithm

Evolutionary Algorithms (EAs) are found to be effective for solving a large variety of optimization problems. In this Paper Dual Population Genetic Algorithm (DPGA) is used for solving the test functions of Congress on Evolutionary Computation 2013 (CEC’2013), by using two different crossovers. Dual...

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Veröffentlicht in:	International journal of information engineering and electronic business 2018-09, Vol.10 (5), p.40-45
Hauptverfasser:	Umbarkar, A. J., Moon, L. R., Sheth, P. D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Comparative studies Crossovers Evolutionary algorithms Evolutionary computation Genetic algorithms Heuristic methods Particle swarm optimization Population Production scheduling
Online-Zugang:	Volltext
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