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A modified whale optimization algorithm with multi-strategy mechanism for global optimization problems

  • S.I.: Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications
  • Published:
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Abstract

Whale Optimization Algorithm (WOA) is an outstanding nature-inspired algorithm widely used to solve many complex engineering optimization problems. However, WOA has a poor balance in exploration and exploitation, which converges to local optimum easily. This article proposes a Modified Whale Optimization Algorithm (MWOA) with multi-strategy mechanism, which introduces the elite reverse learning strategy, nonlinear convergence factor, DE/rand/1 mutation strategy and Lévy flight disturbance strategy. MWOA can improve the convergent ability and maintain the balance of exploitation and exploration to avoid local optimum. Compared with WOA, PSO, MFO, SOA, SCA and other four WOA variants on the CEC2017 benchmark suite, MWOA has strong competitiveness and can better improve the efficiency of WOA according to the experimental results and analysis.

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Data availability

The data that support the findings of this study are not openly available the university’s data sharing guidelines but are available from the corresponding author upon reasonable request.

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Acknowledgements

This research was funded by the National Natural Science Foundation of China (Nos. 72274099, 71974100), Humanities and Social Sciences Fund of the Ministry of Education, China (No. 22YJC630144), Major Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu province (2019SJZDA039), and Project of Meteorological Industry Research Center (sk20220204).

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Authors and Affiliations

  1. School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Mingyuan Li, Xiaobing Yu, Bingbing Fu & Xuming Wang

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  1. Mingyuan Li
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  2. Xiaobing Yu
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  3. Bingbing Fu
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  4. Xuming Wang
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Contributions

Mingyuan Li: Conceptualization, Methodology, Writing- Original draft preparation. Xiaobing Yu: Reviewing and Editing. Bingbing Fu: Data curation, Investigation. Xuming Wang: Editing. Xianrui Yu: Editing.

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Correspondence to Xiaobing Yu.

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Li, M., Yu, X., Fu, B. et al. A modified whale optimization algorithm with multi-strategy mechanism for global optimization problems. Neural Comput & Applic (2023). https://doi.org/10.1007/s00521-023-08287-5

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