Improved marine predators algorithm with hybrid-strategy

Abstract

Aiming at the shortcomings of marine predators algorithm, such as insufficient operation accuracy and easy to fall into local optimization, an improved marine predators algorithm with hybrid-strategy is proposed. Chebyshev chaotic map is introduced in the initialization stage of the algorithm to homogenize the population distribution and reduce the randomness of the operation results. As the algorithm enters the later stage of iteration, the degree of individual assimilation gradually increases, and the Fish Aggregating Devices effect of marine predators algorithm is not enough to help the algorithm break away from local optimization. The Cauchy mutation strategy is introduced as the perturbation term to help the algorithm identify the local optimal solution more clearly. The experimental results show that the improved marine predators algorithm with hybrid-strategy improves the overall performance of the algorithm.