A Comparative Study of Classical Evolutionary Programming and Bat Algorithm
Journal: International Journal of Science and Research (IJSR) (Vol.6, No. 1)Publication Date: 2017-01-05
Authors : D. M. Anisuzzaman; Shifat Sharmin Shapla;
Page : 2370-2373
Keywords : Classical Evolutionary Programming; Swarm Intelligence Algorithm; BAT algorithm; offspring; continuous optimization;
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.
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