| Marine Predators Algorithm(MPA)is a swarm intelligence optimization algorithm based on the predatory behavior of marine organisms.MPA has the characteristics of fast search speed,high precision,easy implementation,and strong optimization ability.Since the marine predators algorithm was proposed,it has been widely used in many fields.However,the algorithm still has some shortcomings,such as easy to fall into local optimization,and the imbalance between exploration and exploitation capabilities.This paper analyzes and improves the deficiencies of the marine predators algorithm,proposes two improved algorithms and applies them to function optimization,early rescue of forest fire and image shape matching,in order to improve the superior performance of MPA and expand its application range.The main research work of this paper is as follows:(1)In the basic MPA,the good point set strategy is introduced to increase the diversity of the initial population,and the Gaussian mutation is introduced to improve the exploitation ability of the algorithm.A marine predators algorithm based on the good point set and Gaussian mutation is proposed.The algorithm is applied to 16 classic test functions,and compared with other seven optimization algorithms.The experimental results show that the improved marine predators algorithm has better performance.(2)A fire fighting multi-strategy marine predators algorithm is proposed,and the opposition-based learning strategy is introduced in the initialization stage to improve the uniformity of the population;The exploration and exploitation capability of the adaptive weight factor balance algorithm is introduced;The random mutation strategy of differential evolution algorithm is introduced to improve the diversity of the population.The improved multi-strategy marine predators algorithm is applied to the initial rescue of forest fire.The simulation results show that the algorithm has satisfactory results in three indexes of forest fire rescue time,rescued edge ratio and burned value ratio.(3)In order to overcome the disadvantages of traditional edge potential function,such as high calculation cost and poor positioning,a marine predators algorithm based on the atomic potential function is proposed by combining the marine predators algorithm with the atomic potential matching model,and is applied to the image shape matching problem.The simulation results show that the marine predators algorithm achieves the best results in three image cases,and the image matching degree is high,The algorithm has a bright future in the field of machine vision. |
