摘要
针对一种免疫算法在求解多模态函数优化问题的不足,利用基于相似结构的小生境技术和近优淘汰算子对免疫算法加以改进.通过仿真实验,本文分析了交叉算子、变异算子及近优淘汰算子对算法的影响.仿真结果表明改进后的算法的性能有明显的提高.
To the drawback that an immune algorithms solve the multi-model optimizing problem, the immune algorithms is improved by using a niche technology of similar structure and eliminating near best result operator. Through the simulation test, the paper analyses the impact of crossover operator, mutation operator and eliminating near best result operator on the algorithms. Simulation results show that the property of the improved algorithms is improved greatly.
出处
《华东交通大学学报》
2007年第1期123-128,共6页
Journal of East China Jiaotong University
基金
华东交通大学校级科研课题<免疫算法参教的研究>
关键词
免疫算法
近优淘汰算子
小生境技术
多模态最优化
immune algorithms
eliminating near best result operator
niche technology
multi-model optimization
