摘要
根据生物进化原理,提出了一种求解TSP的有序遗传算法。利用有序编码规则,通过有序交叉算子和有序变异算子的作用,保证该算法不仅能获得TSP的有效解,而且能可靠地获得全局最优解。计算机模拟实验表明,该算法具有收敛速度快,易获得最优解等特点。
A new algorithm, ordered genetic algorithm (OGA),for solving traveling salesman problem (TSP) is proposed based on the principle of biological evolution and by employing the order based code rule, order based crossover and order based mutation.With OGA,not only can legal tours be achieved but also can the global minimum be obtained.The simulation results show that OGA has the advantages in fast convergence and ease in getting the optimum.
出处
《西南交通大学学报》
EI
CSCD
北大核心
1997年第5期528-533,共6页
Journal of Southwest Jiaotong University
关键词
组合优化
旅行商问题
遗传算法
有序遗传算法
combinatorial optimization
traveling salesman problem
genetic algorithm
ordered genetic algorithm