@inproceedings{1e2b4d419df140c1be8389d2c1a4c7a2,
title = "Improved quantum ant colony algorithm for solving TSP problem",
abstract = "For the low efficiency and poor performance of the ant colony algorithm in solving TSP problems, a new quantum ant colony algorithm proposed. The models of probability selection and pheromone are redefined, integrated with the quantum information intensity factor; The factor updated by quantum rotating gate according to iteration process; Some important parameters are self-adapted controlled at the same time; And 3-opt is used to further local optimization. Stimulation shows the performance is greatly improved.",
keywords = "quantum ant colony algorithm, quantum computing, quantum evolution, TSP",
author = "Ying Ma and Tian, {Wei Jian} and Fan, {Yang Yu}",
year = "2014",
doi = "10.1109/IWECA.2014.6845654",
language = "英语",
isbn = "9781479945658",
series = "Proceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014",
publisher = "IEEE Computer Society",
pages = "453--456",
booktitle = "Proceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014",
note = "2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014 ; Conference date: 08-05-2014 Through 09-05-2014",
}