HONG Lu1, GONG Cheng-long1, WANG Jing-zhuo1, JI Zhi-cheng2
1(Department of Electronic Engineering, Huaihai Institute of Technology, Lianyungang 222005, China)2(Department of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China)
Abstract：In order to enhance the global optimal search ability of clone selection algorithm in solving complicated multi-modal function optimization problem, a new clone selection algorithm (SCSA) based on the mechanism of “Stretching” technique is proposed in the paper. The algorithm equipped with this technique can narrow the range of extreme value of the objective function, and improve the optimization efficiency of the algorithm. To improve diversity of the population and global convergence performance, the chaos mutation mechanism and selection mechanism based on the density and fitness vector of the antibody are introduced in the algorithm. Simulation results indicate that the SCSA equipped with the “Stretching” technique can inhibit prematurity and has better convergence speed and precision compared with traditional artificial immune algorithms, and is an effective multi-modal function optimization algorithm.
洪露1, 龚成龙1, 王经卓1, 纪志成2. 拉伸技术克隆选择算法多模态函数优化研究[J]. , 2014, 35(5): 1151-1154.
HONG Lu1, GONG Cheng-long1, WANG Jing-zhuo1, JI Zhi-cheng2. Stretching Clonal Selection Algorithm for Multi-modal Function Optimization
