Improved Multi-Strategy Harris Hawks Optimization and Its Application in Engineering Problems
Fulin Tian (),
Jiayang Wang and
Fei Chu
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Fulin Tian: School of Computer Science and Engineering, Central South University, Changsha 410083, China
Jiayang Wang: School of Computer Science and Engineering, Central South University, Changsha 410083, China
Fei Chu: School of Computer Science and Engineering, Central South University, Changsha 410083, China
Mathematics, 2023, vol. 11, issue 6, 1-25
Abstract:
In order to compensate for the low convergence accuracy, slow rate of convergence, and easily falling into the trap of local optima for the original Harris hawks optimization (HHO) algorithm, an improved multi-strategy Harris hawks optimization (MSHHO) algorithm is proposed. First, the population is initialized by Sobol sequences to increase the diversity of the population. Second, the elite opposition-based learning strategy is incorporated to improve the versatility and quality of the solution sets. Furthermore, the energy updating strategy of the original algorithm is optimized to enhance the exploration and exploitation capability of the algorithm in a nonlinear update manner. Finally, the Gaussian walk learning strategy is introduced to avoid the algorithm being trapped in a stagnant state and slipping into a local optimum. We perform experiments on 33 benchmark functions and 2 engineering application problems to verify the performance of the proposed algorithm. The experimental results show that the improved algorithm has good performance in terms of optimization seeking accuracy, the speed of convergence, and stability, which effectively remedies the defects of the original algorithm.
Keywords: swarm intelligence; Harris hawks optimization; elite opposition-based learning; Sobol sequence; nonlinear weight; Gaussian walk learning (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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