A Comparative Study of Classical Evolutionary Programming and Bat Algorithm
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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Research Paper | Computer Science & Engineering | Bangladesh | Volume 6 Issue 1, January 2017

A Comparative Study of Classical Evolutionary Programming and Bat Algorithm

D. M. Anisuzzaman, Shifat Sharmin Shapla

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

Edition: Volume 6 Issue 1, January 2017

Pages: 2370 - 2373

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D. M. Anisuzzaman, Shifat Sharmin Shapla, "A Comparative Study of Classical Evolutionary Programming and Bat Algorithm", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART2017514, Volume 6 Issue 1, January 2017, 2370 - 2373

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