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Enhancement structures for the bat algorithm

Reddy, Prashanth M and Ganguli, Ranjan (2018) Enhancement structures for the bat algorithm. In: 2018 IEEE Symposium Series On Computational Intelligence (IEEE SSCI), NOV 18-21, 2018, Bengaluru, INDIA, pp. 601-608.

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Abstract

Bat algorithm is a recently developed !in arm optimization technique which has been found to be a powerful method for multimodal optimization problems. Some of the drawbacks in standard BA are reduced convergence speed due to lack of inertia weight factor and premature convergence due to low diversification capability of the algorithm as the problem's dimension increases. This paper presents an enhanced bat algorithm (EBA) for optimization which employs five different enhancement structures to improve the standard bat algorithm for better global exploration. EBA is tested on several standard test functions and correlated with recently published studies in the literature using non-parametric statistical tests. It shown from statistical test results that EBA is often superior to the standard BA and is also computationally efficient compared to other published algorithms such as GA and PSO.

Item Type: Conference Proceedings
Additional Information: 8th IEEE Symposium Series on Computational Intelligence (IEEE SSCI), Bengaluru, INDIA, NOV 18-21, 2018
Keywords: optimization; stochastic; diversification; exploration; swarm; bioinspired
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Depositing User: Id for Latest eprints
Date Deposited: 11 Mar 2019 10:31
Last Modified: 11 Mar 2019 10:31
URI: http://eprints.iisc.ac.in/id/eprint/61955

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