Simplified Salp Swarm Algorithm

Aiming at the problem that the basic salp swarm algorithm(SSA) is complex and the operation efficiency is not high, a simplified salp swarm algorithm(SSSA) is proposed. Firstly the position update method of the leader in the basic SSA was analyzed. Then the random search radius was used to optimize the leader's search range and the generation process of a random number was reduced. The follower's position update in the basic SSA was followed. Finally, the operation flow of the simplified algorithm was given. Through the optimization experiment of 23 common benchmark functions, the simplified algorithm and the basic algorithm were performed 30 times, and the average value, standard deviation and average running time were compared. The results show that the simplification algorithm reduces the average running time by 2.1%~11.5% and improves the running efficiency on the basis of fully maintaining the convergence speed, convergence precision and robustness of the basic algorithm.