摘要
在遗传算法能够有效解决TSP问题[3][4]的基础上,根据遗传算法———通过搜索大规模,多样化的种群,在种群间交换个体所携带的遗传信息,保留种群中个体的优越遗传信息———的思想,设计了求解分组TSP问题的遗传算法。算法中染色体表示、评价函数的构造、杂交变异算子的设计经过实例计算的检验被证明较为可靠;算法运算速度快,容易获得有效解。
In this paper, we design new operators of Genetic Algorithm (GA) to solve multi-group TSP by searching the various population with huge size, exchanging information between genetics and keeping the relatively outstanding genetics on the basis of solving TSP by GA. We give the principle and methods to solve multi-group TSP. Computer simulated experiment shows that the calculation complexity of GA is small and the relatively perfect solution can be found easily by GA.
出处
《运筹与管理》
CSCD
2004年第1期17-22,共6页
Operations Research and Management Science
基金
国家自然科学基金资助项目(10271048)
上海市重点学科建设项目
关键词
遗传算法
分组旅行推销员
运筹学
模拟退火法
局部搜索法
operational research
genetic algorithm(GA)
multi-group traveling salesman problem
simulated annealing
local search.