Hybridization of Particle Swarm Optimization with adaptive genetic algorithm operators
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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|Source:||International Conference on Intelligent Systems Design and Applications, ISDA|
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