全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

A Self-Adaptive Ant Colony Algorithm
自适应蚁群算法

Keywords: ant colony algorithm,reinforcement learning,traveling salesman problem
蚁群算法
,强化学习,旅行商问题,组合优化问题

Full-Text   Cite this paper   Add to My Lib

Abstract:

Ant colony algorithm is a novel simulated evolutionary algorithm which is proposed first by Italian scholars M.Dorigo, A.Colormi, and V. Maniezzo. Preliminary study has shown that it has many promising futures. It provides a possible way for complicated combinatorial optimization problems,so it interests many scholars. Unfortunately, however it has some shortcomings such as needing much time and easier occuring of stagnation behaviour. In view of the deficiency of research of ant colony algorithm at home, this paper presents a brief review on the research state of ant colony algorithm with hope to be helpful to the corresponding research work.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133