Tabu Annealing Lion Swarm Optimization Algorithm

Abstract

Lion swarm optimization is a swarm intelligence algorithm that simulates the behaviors of lion king, lioness and cub. Lion king is the individual who occupies the best position in the lion group, but only a single position update is carried out in each iteration, so the search is not careful enough. To solve the above problem, a tabu annealing lion swarm optimization algorithm is proposed, which uses the memory tabu annealing algorithm with tabu list to enhance the lion king's optimization ability. The experimental comparisons on CEC2013 test function show that the proposed tabu annealing lion swarm optimization algorithm has faster convergence speed, higher accuracy and is more effective.