Hybridization of Particle Swarm Optimization with adaptive genetic algorithm operators
Date
2014
Authors
Masrom, Suraya
Moser, Irene
Montgomery, James
Abidin, Siti Zaleha Zainal
Omar, Nasiroh
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IEEE
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Particle Swarm Optimization (PSO) is a popular algorithm used extensively in continuous optimization. One of its well-known drawbacks is its propensity for premature convergence. Many techniques have been proposed for alleviating this problem. One of the
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International Conference on Intelligent Systems Design and Applications, ISDA
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Conference paper
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2037-12-31
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