文章摘要
WANG Zhenyu(王振宇),WANG Lei.[J].高技术通讯(英文),2024,30(1):99~108
Multi-strategy hybrid whale optimization algorithms for complex constrained optimization problems
  
DOI:10. 3772 / j. issn. 1006-6748. 2024. 01. 011
中文关键词: 
英文关键词: whale optimization algorithm (WOA), good point set, nonlinear convergence factor, siege mechanism
基金项目:
Author NameAffiliation
WANG Zhenyu(王振宇) (School of Computer Science and Engineering, Xi??an University of Technology, Xi??an 710048, P. R. China) 
WANG Lei  
Hits: 245
Download times: 294
中文摘要:
      
英文摘要:
      A multi-strategy hybrid whale optimization algorithm (MSHWOA)for complex constrained optimization problems is proposed to overcome the drawbacks of easily trapping into local optimum, slow convergence speed and low optimization precision. Firstly, the population is initialized by introducing the theory of good point set, which increases the randomness and diversity of the population and lays the foundation for the global optimization of the algorithm. Then, a novel linearly update equation of convergence factor is designed to coordinate the abilities of exploration and exploitation. At the same time, the global exploration and local exploitation capabilities are improved through the siege mechanism of Harris Hawks optimization algorithm. Finally, the simulation experiments are conducted on the 6 benchmark functions and Wilcoxon rank sum test to evaluate the optimization performance of the improved algorithm. The experimental results show that the proposed algorithm has more significant improvement in optimization accuracy, convergence speed and robustness than the comparison algorithm.
View Full Text   View/Add Comment  Download reader
Close

分享按钮