A New Hybrid Artificial Bee Colony Algorithm for the Traveling Salesman Problem
This paper presents a novel hybrid artificial bee colony algorithm (ABC&PR) to solve the traveling salesman problem (TSP). The main feature of this hybrid algorithm is to hybridize the solution construction mechanism of the artificial bee colony (ABC) algorithm with path relinking (PR), an evolutionary method, which introduce progressively attributes of the guiding solution into the initial solution to obtain the high quality solution as quickly as possible. Moreover, the hybrid ABC algorithm considers both solution diversification and solution quality, and it adopts the dynamic updating strategy of the reference set and the criterion function restricting the frequencies of using the path-relinking procedure to accelerate the convergence towards high-quality regions of the search space. Finally, the experimental results for benchmark TSP instances have shown that our proposed method is very efficient and competitive to solve the traveling salesman problem compared with the best existing methods in terms of solution quality.
Artificial bee colony traveling salesman problem path relinking
Xiaoxia Zhang Qiuying Bai Xiaoyan Yun
College of Software Engineering University of Science and Technology Liaoning Anshan114051, P.R.Chin College of Software Engineering University of Science and Technology Liaoning College of Software Engineering University of Science and Technology Liaoning Anshan 114051, P.R.Chi
国际会议
西安
英文
155-159
2011-05-13（万方平台首次上网日期，不代表论文的发表时间）