Adaptive Whale Algorithm Based on T-probability Distribution
Aiming at the problems of poor initial population diversity in whale algorithm and population convergence in late iteration,an adaptive whale algorithm(CWOA)based on T-distribution perturbation is proposed in this paper to opti-mize the initial population through Tent chaos mapping to make the search range ergodic.The global search and local de-velopment capabilities of the sinusoidal variable factor balance algorithm are introduced to improve the search accuracy of the algorithm,and the convergent population is disturbed by T-distribution function to improve the ability of the algorithm to jump out of the local optimal solution.Experiments show that CWOA algorithm has higher optimization accuracy and can jump out of the local optimal solution faster than the traditional whale algorithm and other classical algorithms.
万方数据
维普
