关键词: 蚁群优化, 进化规划, 信息素, 优进策略, 二甲苯异构化

Abstract: Ant colony optimization(ACO) has high optimizing efficiency, but can only be applied to combinational optimization problems. For adapting ACO to continuous optimization problems, the concise evolution mechanism of evolution program(EP) was introduced to reconstruct ACO, in which the objective was to search optimal food source other than the best sequence. The ant colony was divided into global ants and local ants, which guided the individuals to perform global exploratory optimization and local excavating optimization respectively.Ants released pheromone on the individuals, and the pheromone was shared by all ants, which inherited the collective autocatalytic behaviour characterised by positive feedback mechanism of ACO.Under the support of eugenic strategy, the EP-ACO algorithm was constructed. The experimentations on optimization of complex functions showed that EP-ACO could be well fit for solving continuous optimization problems with high global optimization efficiency and showed good adaptability to high dimension problems. Finally, EP-ACO was successfully applied to the operation optimization of the equipment of xylene isomerization.The results were better than the referenced methods.

Key words: 蚁群优化, 进化规划, 信息素, 优进策略, 二甲苯异构化