A Comparative Study of Classical Evolutionary Programming and Bat Algorithm
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.
Keywords: Classical Evolutionary Programming, Swarm Intelligence Algorithm, BAT algorithm, offspring, continuous optimization
How to Cite?: D. M. Anisuzzaman, Shifat Sharmin Shapla, "A Comparative Study of Classical Evolutionary Programming and Bat Algorithm", Volume 6 Issue 1, January 2017, International Journal of Science and Research (IJSR), Pages: 2370-2373, https://www.ijsr.net/getabstract.php?paperid=ART2017514, DOI: https://dx.doi.org/10.21275/ART2017514