This paper investigates the philosophical and performance differences of particle swarm and evolutionary optimization. The method of processing employed in each technique are first reviewed followed by a summary of their philosophical differences. Comparison experiments involving four non-linear functions well studied in the evolutionary optimization literature are used to highlight some performance differences between the techniques.
CITATION STYLE
Aler, R., Borrajo, D., & Isasi, P. (1998). Evolutionary Programming VII. (V. W. Porto, N. Saravanan, D. Waagen, & A. E. Eiben, Eds.) (Vol. 1447). Berlin/Heidelberg: Springer-Verlag. https://doi.org/10.1007/BFb0040753
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