A New Hybrid Genetic Algorithm and Particle Swarm Optimization
2012 ◽
Vol 498
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pp. 115-125
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Keyword(s):
In this paper, we present a new hybrid algorithm which is a combination of a hybrid genetic algorithm and particle swarm optimization. We focus in this research on a hybrid method combining two heuristic optimization techniques, genetic algorithms (GA) and particle swarm optimization (PSO) for the global optimization. Denoted asGA-PSO, this hybrid technique incorporates concepts fromGAandPSOand creates individuals in a new generation not only by crossover and mutation operations as found inGAbut also by mechanisms ofPSO. The performance of the two algorithms has been evaluated using several experiments.
Keyword(s):
2018 ◽
Vol 10
(01)
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pp. 1850009
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2008 ◽
Vol 8
(2)
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pp. 849-857
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2017 ◽
Vol 9
(3)
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pp. 418-440
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2019 ◽
Vol 8
(2)
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pp. 40
2012 ◽
Vol 55
(16)
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pp. 34-40
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2019 ◽
Vol 58
(36)
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pp. 16753-16760
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