一种基于漂移和波动思想的遗传算法  

A New Genetic Algorithm Based on Drift and Wave Thought

作　　者：李松芳 刘伟[1] 徐怀祥 

机构地区：[1]广东工业大学应用数学学院,广东广州510006

出　　处：《广东工业大学学报》2014年第1期40-45,共6页Journal of Guangdong University of Technology

基　　金：国家自然科学基金资助项目(60974077)

摘　　要：为充分利用最优个体的信息,借鉴于漂移和波动思想设计出新的交叉与变异算子,提出一种新的遗传算法.新算法采用混沌策略处理不可行个体,新算子结合最优个体信息,兼具全局搜索与局部搜索性能.仿真实验表明,新算法不但加快了算法的收敛速度,而且提高了求解精度,是一种有效性算法.In order to make full use of the optimal individual information , referring to thought of drift and wave to design the new crossover and mutation operator , it proposes a new genetic algorithm;The new al-gorithm uses the chaotic strategy for processing infeasible individuals , with the new operator combined with optimal individual information , so it has the capability of global search and local search .Simulation experiments show that the new algorithm can improve the algorithm convergence speed and accuracy , and that the proposed method is effective and feasible .

关 键 词：遗传算法 波动 漂移 混沌策略 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]