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一种求解N皇后问题的优化组合遗传算法
引用本文:黄复贤.一种求解N皇后问题的优化组合遗传算法[J].昆明理工大学学报(理工版),2011,36(2):46-49.
作者姓名:黄复贤
作者单位:菏泽学院计算机与信息工程系,山东菏泽,274006
基金项目:山东省自然科学基金,菏泽学院科研基金资助
摘    要:基于遗传算子优化组合思想,采用二进制编码方式,选择矩阵遗传算子和布尔遗传算子组合应用对N皇后问题求解,避免了常规遗传算法的杂交率和变异率选取.从N皇后问题的约束条件角度,构造适应度评价函数,保证了算法的全局收敛性.实验结果表明,本文算法具有良好的搜索效率和求解质量,运行一次在收敛代数内可以搜索到多个解,当皇后数N较大时,搜索到解的效率越明显好于常规遗传算法.

关 键 词:N皇后问题  矩阵遗传算子  布尔遗传算子  优化组合

An Optimized and Combined Genetic Algorithm for N-Queens Problem
HUANG Fu-xian.An Optimized and Combined Genetic Algorithm for N-Queens Problem[J].Journal of Kunming University of Science and Technology(Natural Science Edition),2011,36(2):46-49.
Authors:HUANG Fu-xian
Affiliation:HUANG Fu-xian(College of Computer and Information Engineering,Heze University,Heze,Shandong 274006,China)
Abstract:Based on the concept of optimized combination of genetic operators,in this paper a new genetic algorithm using binary code for N-Queens problem is constructed with matrix genetic operator and Boolean genetic operator,which does not require parameters of crossover probability and mutation probability.A fitness function is designed to adapt constraint of N-Queens problem and to ensure the convergence of the constructed genetic algorithm.Experiments results show that the efficiency of the algorithm is better than current genetic algorithm when the number of queens is great,and it can find multiple solutions in one search process.
Keywords:N-Queens problem  matrix genetic operator  Boolean genetic operator  optimized combination
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