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《Journal of Huazhong University of Science and Technology(Nature Science Edition)》 2008-07
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Solving of TSP with time restraints by Memetic algorithm

Gao Liang Liu Wenjun Zhou Chi (The State Key Laboratory of Digital Manufacturing Equipment and Technology,Huazhong University of Science and Technology,Wuhan 430074,China)  
The Memetic algorithm based on two local is proposed to solve the traveling salesman problem(TSP) with time restraints.During the basic genetic operation,it introduced order crossover and two-block-exchange mutation,then after each operation,it adopted greed recessive variation or recursive arc insertion by the random parameter.Experimental results demonstrate the high efficiency and robust stability of the proposed algorithm.
【Fund】: 国家自然科学基金资助项目(50305008)
【CateGory Index】: O223
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