旅行商问题
人工蜂群算法
水准点(测量)
数学优化
启发式
蚁群优化算法
计算机科学
算法
数学
大地测量学
地理
作者
Wei Li,Wei Jia Li,Yuan Yang,Hai Qiang Liao,Ji Long Li,Xi Peng Zheng
出处
期刊:Advanced Materials Research
日期:2011-08-16
卷期号:314-316: 2191-2196
被引量:23
标识
DOI:10.4028/www.scientific.net/amr.314-316.2191
摘要
By combining the modified nearest neighbor approach and the improved inver-over operation, an Artificial Bee Colony (ABC) Algorithm for Traveling Salesman Problem (TSP) is proposed in this paper. The heuristic approach was tested in some benchmark instances selected from TSPLIB. In addition, a comparison study between the proposed algorithm and the Bee Colony Optimization (BCO) model is presented. Experimental results show that the presented algorithm outperforms the BCO method and can efficiently tackle the small and medium scale TSP instances.
科研通智能强力驱动
Strongly Powered by AbleSci AI