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Symmetry 2018, 10(6), 210; https://doi.org/10.3390/sym10060210

An Improved Whale Optimization Algorithm Based on Different Searching Paths and Perceptual Disturbance

1
School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan 114044, China
2
Fujian Institute of Research on the Structure, Fuzhou 350002, China
3
National Financial Security and System Equipment Engineering Research Center, University of Science and Technology Liaoning, Anshan 114044, China
*
Authors to whom correspondence should be addressed.
Received: 15 April 2018 / Revised: 1 June 2018 / Accepted: 6 June 2018 / Published: 11 June 2018

Abstract

Whale optimization algorithm (WOA) is a swarm intelligence optimization algorithm inspired by humpback whale hunting behavior. WOA has many similarities with other swarm intelligence algorithms (PSO, GWO, etc.). WOA’s unique search mechanism enables it to have a strong global search capability while taking into account the strong global search capabilities. In this work, considering the the deficiency of WOA in local search mechanism, combined with the optimization methods of other group intelligent algorithms, perceptual perturbation mechanism is introduced, which makes the agent perform more detailed searches near the local extreme point. At the same time, since the WOA uses a logarithmic spiral curve, the agent cannot fully search all the spaces within its search range, even though the introduction of the perturbation mechanism may still lead to the algorithm falling into a local optimum. Therefore, the equal pitch Archimedes spiral curve is chosen to replace the classic logarithmic spiral curve. In order to fully verify the effect of the search path on the performance of the algorithm, several other spiral curves have been chosen for experimental comparison. By utilizing the 23 benchmark test functions, the simulation results show that WOA (PDWOA) with perceptual perturbation significantly outperforms the standard WOA. Then, based on the PDWOA, the effect of the search path on the performance of the algorithm has been verified. The simulation results show that the equal pitch of the Archimedean spiral curve is best. View Full-Text
Keywords: whale optimization algorithm; searching path; function optimization whale optimization algorithm; searching path; function optimization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Sun, W.-Z.; Wang, J.-S.; Wei, X. An Improved Whale Optimization Algorithm Based on Different Searching Paths and Perceptual Disturbance. Symmetry 2018, 10, 210.

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