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蚁群法是继遗传法、模拟退火法和禁忌搜索法之外的又一种新兴,启发式随机搜索算法,该算法是模拟蚂蚁在觅食过程中,能发现蚁巢到食物的最短路径搜索机制而发展起来的,已成功地应用于一系列复杂组合问题的优化。本文主要综述蚁群法的基本原理,以及近5年来在化学化工中的应用情况。首先概述算法的特点,再详尽讨论建立蚁群法模型的有关抽象与近似,指出蚁群法的实现过程;从化学化工过程的优化、化学计量学的研究和催化剂的开发、化学反应动力学参数估算等方面,讨论了算法在化学化工领域中应用情况;最后展望算法在化学化工领域中的应用可能。
Ant colony algorithm is another new heuristic stochastic search algorithm besides genetic algorithm, simulated annealing method and tabu search method, which can simulate ants searching for the shortest path to food in the foraging process Mechanism developed and has been successfully applied to a series of complex combinatorial optimization problems. This article mainly summarizes the basic principle of the ant colony method, as well as the application of chemical chemistry in the past five years. First of all, it outlines the characteristics of the algorithm, discusses the abstract and approximation of establishing the ant colony method in detail, and points out the realization process of the ant colony method. From the aspects of chemical and chemical process optimization, chemometrics and catalyst development, chemical reaction kinetics parameters Estimation and other aspects, the application of the algorithm in the field of chemical chemistry is discussed. Finally, the application of the algorithm in the field of chemical chemistry may be forecasted.