Abstract：Social learning optimization (SLO) algorithm is a new swarm intelligent algorithm and proposed by simulating the evolution process of human intelligence.SLO consists of three co-evolution spaces,the evolution spaces of SLO form a complete closed loop,this is in accordance with the natural law of the human social intelligence evolution and has better optimization mechanism.However,there is no SLO algorithm for solving function optimization problem,to solve this problem,this paper designs operations of SLO (including crossover operation,mutation operation,observational learning and imitation operation) for function optimization problems,and proposes the social learning algorithm for function optimization (F-SLO).Finally,the performance of F-SLO is compared with other swarm intelligent algorithms based on standard testing functions,experimental results show that the F-SLO algorithm proposed in this paper has better performance in solving function optimization problems.
2017, Vol. 38 
