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A Comparative Study of Classical Evolutionary Programming and Bat Algorithm

Journal: International Journal of Science and Research (IJSR) (Vol.6, No. 1)

Publication Date:

Authors : ; ;

Page : 2370-2373

Keywords : Classical Evolutionary Programming; Swarm Intelligence Algorithm; BAT algorithm; offspring; continuous optimization;

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Abstract

Evolutionary Programming is an algorithm which uses natural selection of the fittest. In Classical Evolutionary Programming (CEP) uses Gaussian mutation. CEP is better at search in a small local neighborhood. It offers the best results for the unimodal and multimodal functions with only a few local minima. On the other hand, Swarm Intelligence algorithm inspired by natural behavior. Swarm Intelligence algorithm is the collective behavior of decentralized self-organized system. In this paper, we conducted an experimental comparison between CEP and a Swarm Intelligence algorithm - BAT. The experimental data shows that CEP performs better than BAT algorithm.

Last modified: 2021-06-30 17:35:27