Modified differential evolution: a greedy random strategy for genetic recombination

Over the past three decades Evolutionary Algorithms have emerged as a powerful mechanism for finding solutions to large and complex problems. A promising new evolutionary algorithm known as Differential Evolution (DE) was recently introduced and has garnered significant attention in the research lit...

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Vydané v:	Omega (Oxford) Ročník 33; číslo 3; s. 255 - 265
Hlavní autori:	Bergey, Paul K., Ragsdale, Cliff
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Exeter Elsevier Ltd 01.06.2005 Elsevier Elsevier Science Publishers Pergamon Press Inc
Edícia:	Omega
Predmet:	Algorithms Applied sciences Artificial intelligence Artificial intelligence Evolutionary algorithms Non-linear programming Optimization Computer science; control theory; systems Connectionism. Neural networks Evolutionary algorithms Exact sciences and technology Flows in networks. Combinatorial problems Genetic algorithms Genetic engineering Genetic recombination Methods Non-linear programming Nonlinear programming Operational research and scientific management Operational research. Management science Optimization Search theory Studies United States Evolutionary algorithms Non-linear programming Artificial intelligence Optimization Genetic algorithm Evolutionary algorithm Optimal solution Optimization method Non linear programming Global solution Stochastic programming
ISSN:	0305-0483, 1873-5274
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