摘要
In this paper,an improved optimization approach,free search with double populations(FSDP)which is based on free search(FS)algorithm,is proposed.Comparing to FS algorithm,FSDP preserves the sub-optimal solutions and adopts elitist strategy in the searching process,which effectively avoids falling into local optimum and improves the convergence speed and the search accuracy.Simulation results show that FSDP has a better comprehensive performance over FS,PSO and GA.
基金
supported in part by the Natural Science Foundation of China under Grants of 61174094,61273138
the Specialized Research Fund for the Doctoral Program of Higher Education of China under Grant 20090031110029
the Tianjin Nature Science Foundation under Grant 10JCZDJC15900.
