Abstract:
To improve the performance of the algorithm, an modified cook search algorithm is proposed. In the modified algorithm, first chaos theory is utilized to enhance the variety of the initial population. Then, Levy random walk or modified's shuffed frog leaping algorithm local search is adaptively chosen to update the new solution, improving the local search ability and convergence rate of the algorithm. Comparison results with other algorithms indicate that the modified algorithm displays strong optimizing accuracy and high speed, improving the segmentation efficiency of the algorithm.