Improved Genetic Algorithm based on Search Parameters Dynamically Adjust and its Application
Practical application of genetic algorithm is easy to premature convergence and accuracy of search results is not high.Optimal value for the premature convergence and low accuracy to dynamically adjust the search parameters to optimize the calculation,the whole process of evolution,the algorithm always maintain a strong global search ability and local search capabilities; test results show that genetic such im proved algorithm is effective,easy to f all into local optimum,and can greatly improve the accuracy of the optimal solution.
genetic algorithms real coding premature convergence
Yongsheng Jia Xiujian Lv
Shijiazhuang Vocational and Technology Institute,Department of Information Engineering Shijiazhuang,China
国际会议
沈阳
英文
2349-2352
2012-09-26（万方平台首次上网日期，不代表论文的发表时间）