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
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)