会议专题

Heuristic Algorithms for Bi-objective Traveling Salesman Problem

In this paper we discuss about solving the bi-objective traveling salesman problem. We assumed there are two data matrixes, the cost and distance of traveling from a city to its neighbor. Our objectives are minimizing the costs and the distances of traveling. The cost and the distance of traveling are independent and no relation is there between them. We adapted the Nearest Neighbor Heuristic which has been given for solving a single objective TSP and reached to a heuristic for solving a bi-objective TSP. Also, we developed a genetic algorithm for solving the problem. We gave this genetic algorithm based on Pareto elitist-selection method. We have tested these methods on some generated random instances and some instances which are available on TSPLIB.

TSP bi-objective Genetic algorithm

Fariborz JOLAI Mohammad YAZDANI

Industrial Engineering Department,Faculty of Engineering,University of Tehran,Tehran,Iran

国际会议

工业工程与系统管理2007年国际会议(International Conference on Industrial Engineering and Systems Management)(IESM 2007)

北京

英文

2007-05-30(万方平台首次上网日期,不代表论文的发表时间)