旅行商问题
蚁群优化算法
禁忌搜索
计算机科学
数学优化
算法
元启发式
数学
作者
Rico Wijaya Dewantoro,Poltak Sihombing,Sutarman Sutarman
标识
DOI:10.1109/elticom47379.2019.8943832
摘要
In this research, the authors want to propose the combination of Ant Colony Optimization Algorithm and Tabu Search Algorithm as local search to solve Traveling Salesman Problem. This is a hybrid method of ACO to find best routes and get a better running time. One of the classic problems that can be used is TSP. In this research, the authors will compare the hybrid of ACO-TS and ACO. In this research, the hybrid of ACO-TS got the best routes and a better running time than ACO itself. It means that combination of ACO-TS is better than ACO itself. Therefore to get the best routes and a better running time, the author suggested the ACO-TS algorithm to solve TSP.
科研通智能强力驱动
Strongly Powered by AbleSci AI