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《Journal of Huazhong University of Science and Technology》 2005-10
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A mathematical model and genetic algorithm for resource optimization

Zhou Kang Tong Xiaojun Xu JinAssco.Prof.;Department of Mathematics and Physics,Wuhan Polytechnic University,Wuhan 430023,China.  
For network planning,resource optimization was put forward,and a mathematical model of resource optimization was set up.It was seen from the analysis that the modern optimization algorithms are mainly used to solve the mathematical model of resource optimization,and then genetic one used for solving this model of resource optimization.This genetic algorithm made a difference to traditional genetic algorithm.Firstly,the designed inimitable crossover probability and idiographic mutation one designed,can find optimal schema as soon as possible as well as enlarge searching area to solve deceptive problem.Secondly,being used inspecting and self-renovating operator can ensure that each son individual passing through crossover and mutation meets the feasibility.Finally,an example for showing validity of this algorithm was given.
【Fund】: 国家自然科学基金资助项目(60373089 30370356 60274026)
【CateGory Index】: TP183;
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