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MTSPranseti
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多旅行商问题(Multiple Traveling Salesperson Problem ,简称MTSP) 讨论的是如何安排m( > 1 ) 位旅行商访问n( > m ) 座城市,要求每个城市只允许被访问一次时,求解所有旅行商花费的费用和是最小(或最大) 的问题。MTSP 问题其实与单 旅行商问题(Traveling Salesperson Problem ,简称TSP) 相似,但是由于添加了任何城市只要被某一旅行商访问到即可这个附加条 件,因而增加了问题复杂度。在以前使用遗传算法(GA) 研究解决MTSP 问题时,通常采用标准的TSP 染色体和处理方法。现 为解决MTSP 问题给出了一种新的染色体设计和相关的处理方法,并与以往的理论设计和计算性能进行比较。计算测试显 示,新的方法能够获得较小的查找空间,在许多方面,新的方法产生的解空间更好。-Multi-Traveling Salesman Problem (Multiple Traveling Salesperson Problem, referred to as MTSP) discussed the arrangements for the m (> 1)-bit traveling salesman visits n (> m) cities to require each city to allow only visited once, the solution of traveling salesman to spend all the costs and the smallest (or largest) problems. In fact, with the single issue of MTSP TSP (Traveling Salesperson Problem, referred to as TSP) is similar to, but added any city as long as the visit by a traveling salesman to be attached to the Pieces, thus increasing the complexity of the problem. The use of genetic algorithms in the past (GA) to study and solve the issue of MTSP, usually a standard chromosome and the TSP approach. Is MTSP problem to solve is given a new design and associated chromosome approach and the theory of the previous design and to compare performance. Calculation of the test significantly Show that the new method can find a smaller space, in many respects, the new met
Date
: 2025-12-18
Size
: 242kb
User
:
liqiubin
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