An Adaptive Genetic Algorithm Based on Parameters Cooperated with Evolution
Xiaoqin Yang · Jisuanji fangzhen · 2010
An Improved Adaptive Genetic Algorithm based on Parameters Cooperated with Evolution(PCEAGA) is introduced for solving the problem of premature of genetic algorithm.In the algorithm,a resisting premature mechanism is introduced into selection operation,crossover operator is dynamically adjusted in the process of crossover operation,and the hamming distance is considered as an important factor of self-adaptation of crossover ratio.In the simulation experiment,several multiple peaks functions are optimized by the new algorithm.The results prove that the algorithm avoids the convergence of local optimal solution and shows great advantages of simple genetic algorithm and adaptive genetic algorithm in convergence.