论文部分内容阅读
蚁群法是新型的群智能优化法,具有鲁棒性、分布并行机制和易融入启发式信息等特点。尤其通过释放信息素,蚂蚁间相互交流协作,实现正反馈机制,加速全局搜优,提高效率。蚁群法最初只用于离散问题。本文评述蚁群法的起源、改进和发展;重点介绍并分析了连续型蚁群法的几种处理方案和各自特点;全面总结蚁群法已应用在化学化工领域,以及对动态、带约束和多目标问题的处理方式和机制,效果良好,优于其他算法的情况。最后展望蚁群法今后的发展前景和研究方向。
Ant colony method is a new kind of group intelligent optimization method, which has the characteristics of robustness, distributed parallelism and easy integration of heuristic information. Especially through the release of pheromones, ants communicate with each other to achieve positive feedback mechanism to speed up the overall search and improve efficiency. The ant colony method was originally used only for discrete problems. This article reviews the origin, improvement and development of the ant colony method. It mainly introduces and analyzes several treatment schemes and their respective characteristics of the continuous ant colony method. It summarizes that the ant colony method has been applied in the chemical and chemical fields, The way and mechanism of multi-objective problem handling is good and better than other algorithms. Finally, the future prospects and research directions of the ant colony method are prospected.