Genetic Algorithm and Particle Swarm Optimization: Analysis and Remedial Suggestions

Volume: 5

Pages: 437-441

DOI: 10.1007/978-981-10-3226-4_44

Abstract:

A comprehensive comparison of two powerful evolutionary computational algorithms: Genetic Algorithm and Particle Swarm Optimization have been presented in this paper. Both the algorithms have the global exploration capability; is being applied to the difficult optimization problems. The operators of each algorithm greatly contribute to the success have been reviewed, focusing on how they affect the searching in the problem space. The rationale of conducting this study is: to bring additional insights into how these algorithms work, and suggest remedies, if incorporated, improves the performance.

Source: Scopus