摘要
蚁群算法是一种新型的模拟进化算法 ,研究表明该算法具有很好的通用性和鲁棒性 ,在离散的组合优化问题中实验 ,取得了良好的效果。介绍了蚁群算法的原理 ,对目前蚁群算法的研究进展情况进行了分析 ,同时对比国内外的研究状况提出了自己的观点 。
Ant colony algorithm is a kind of new emulated evolution algorithm. The research shows that this algorithm can be commonly used and offers very good robustness, excellent result is obtained in the experiment of discrete combined optimization. The principle of ant colony algorithm is introduced and current progress in research of this algorithm is analyzed. The situation of the research at home and abroad are compared and the viewpoint of author is given. The application of this algorithm in wider area is promoted.
出处
《自动化仪表》
CAS
北大核心
2004年第1期1-4,共4页
Process Automation Instrumentation
