A summary of the research on whale optimization algorithms

Xiaolin Wang; Liyi Zhang; Jihua Chai; Teng Fei

doi:10.1117/12.2636374

6 May 2022 A summary of the research on whale optimization algorithms

Xiaolin Wang, Liyi Zhang, Jihua Chai, Teng Fei

Proceedings Volume 12176, International Conference on Algorithms, Microchips and Network Applications; 121760U (2022) https://doi.org/10.1117/12.2636374
Event: International Conference on Algorithms, Microchips, and Network Applications 2022, 2022, Zhuhai, China

Abstract

Whale optimization algorithm (WOA) has the advantages of simple implementation, few adjustment parameters, strong optimization ability, and fast convergence speed, and has been widely used. Currently, it is mainly used in image segmentation, feature selection, model prediction, path planning, production scheduling and other fields. But there are also shortcomings such as easy to fall into local optimum and low convergence accuracy. Therefore, research on the improved whale algorithm has important theoretical significance and practical value. This article describes the basic principles, algorithm flow and characteristics of the whale optimization algorithm, analyzes the range of algorithm parameters and their impact on algorithm performance, and reviews the algorithms in recent years from three aspects: algorithm hybridization, operator improvement, and parameter optimization. The improvement ideas and development trends of the algorithm point out the next research direction of the algorithm.

Citation Download Citation

Xiaolin Wang, Liyi Zhang, Jihua Chai, and Teng Fei "A summary of the research on whale optimization algorithms", Proc. SPIE 12176, International Conference on Algorithms, Microchips and Network Applications, 121760U (6 May 2022); https://doi.org/10.1117/12.2636374

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KEYWORDS

Optimization (mathematics)

Algorithm development

Distributed interactive simulations

Binary data

Image processing algorithms and systems

Computer simulations

Mathematical modeling

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