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《Journal of Yangtze University(Natural Science Edition) Sci & Eng V》 2010-01
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Genetic Algorithm for Four-coloring Map Problems

HU Neng-fa,TANG Wei-Pin (Hanshan Teachers College,Chaozhou 521041)  
In order to effictively obtain four-coloring map solutions,first,the map was turned into a plan to give coding rules genetic algorithm for solving the four-coloring map problems.To avoid the algorithm being stuck into local solutions,crossover operator was used for a dual-point crossover and introduction of a high probability mutation operator.It adds gene fitness function based on single fitness function,and increases worst gene mutation operator to probability equal to 1.Test show that the method can greatly improve the speed of algorithm and it is higher efficiency for four-coloring map problems.
【Fund】: 广东省科技计划项目(2008B080701018)
【CateGory Index】: O157.5
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