### Multi-model function optimization based on clonal optimization with self-adaptive population size

PEI Fang1，2, ZHANG Jie1，2, TANG Jun3

1. 1.Department of Information Engineering, Hunan Mechanical & Electrical Polytechnic, Changsha 410151, China
2.Department of Computer Science, Huazhong University of Science and Technology, Wuhan 430074, China
3.School of Software, Tongji University, Shanghai 230021, China
• Online:2013-06-01 Published:2013-06-14

### 种群自适应调整的克隆多峰函数优化

1. 1.湖南机电职业技术学院 信息工程系，长沙 410151
2.华中科技大学 计算机科学系，武汉 430074
3.同济大学 软件学院，上海 230021

Abstract: In order to get the best solutions of the multi-model function, an immune clonal algorithm with self-adaptive population size is proposed. The self-adaptive population size changes with the evolutionary process are achieved to balance the impact of population size on the efficiency of the algorithm. In addition, in terms of multi-modal function optimization characteristics, Larmark learning is used as a local search strategy to enhance the search ability for the optimal solution. The experimental results show that the algorithm has better performances.