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Hybridization of Particle Swarm Optimization with adaptive genetic algorithm operators

Masrom, Suraya; Moser, Irene; Montgomery, James; Abidin, Siti Zaleha Zainal; Omar, Nasiroh

Description

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

CollectionsANU Research Publications
Date published: 2014
Type: Conference paper
URI: http://hdl.handle.net/1885/76615
Source: International Conference on Intelligent Systems Design and Applications, ISDA
DOI: 10.1109/ISDA.2013.6920726

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