A Study of Using the Revised Electromagnetism-like Mechanism to Solve the Traveling Salesman Problems

• Main Authors: Hsin-chieh Fang, 方信傑
• Other Authors: Peitsang Wu
• Format: Others
• Language: en_US
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/22667792783338000201

碩士 === 義守大學 === 工業工程與管理學系碩士班 === 94 === In this study, the main objective is to solve the traveling salesman problems (TSP). TSP is an instance of the combinatorial optimization problems and NP-complete problems. When the problems of the dimensions are higher, it becomes difficult and hard to solve though this problem is easy to describe and understand. If we consider all feasible solutions, it may cost a lot of time and not be effective. The new meta-heuristic algorithm, called the Electromagnetism-like Mechanism (EM), was proposed by Birbil and Fang (2003). It utilizes an attraction-repulsion mechanism to force the sample point move toward better feasible region even optimality. Although EM has been used to solve TSP, the results obtained still immerge the local optimum. We introduce new mechanism and local search method into EM (called Revised electromagnetism-like mechanism) to expect to gain a better solution than original EM when we solve the problems with more dimensions. Keywords: Revised electromagnetism-like mechanism (EM), Traveling salesman problems (TSP), NP-complete problems.