This project was supported by National Natural Science Foundation of China (Grant No. 61179032), and the Graduate Innovation Fund of Wuhan Polytechnic University (2014cx007). In addition, we would also thank every authors appeared in the references.
机构署名:
本校为第一且通讯机构
院系归属:
数学与计算机学院
摘要:
In order to further study the effectiveness and applicability of the glowworm swarm optimization algorithm, this paper proposed a discrete glowworm swarm optimization algorithm with an adaptive neighborhood search, and used it to solve traveling salesman problem (TSP). Based on the analysis and optimization of the different genetic operations, a new adaptive DGSO algorithm is presented (ADGSO), which is effective for both local search and global search. And we defined a new kind of glowworm, which can adjust the flight length of particles by selfadapting. By solving the different instances of ...