Tabu Search中集中性和多样性的自适应搜索策略
A Novel Adaptive Search Strategy of Intensification and Diversification in Tabu Search
-
摘要: 近年来的研究表明 ,集中性与多样性策略在禁忌搜索中是非常重要的 但集中性与多样性常常又是矛盾的 ,如何解决集中性与多样性之间的矛盾就成为一个值得关注的话题 以组合优化中的著名难题TSP(travelingsalesmanprob lem)为例 ,提出了一种新颖的自适应搜索策略 ,通过邻域和候选集的相互配合 ,动态地调整候选集中分别用于集中性搜索与多样性搜索的元素个数 ,较好地解决了集中性与多样性的冲突问题 仿真实验表明 ,该算法是可行的和有效的Abstract: In recent years, many researches show that the strategy of intensification and the strategy of diversification are very important in tabu search, but they are usually conflicting. How to solve the conflict has become a topic worthy of paying attention. A novel adaptive search strategy of intensification and diversification is proposed to solve TSP (traveling salesman problem) in this paper. This strategy adjusts dynamically the numbers of intensification elements and diversification elements in candidate list respectively by interactive cooperation between neighborhood and candidate list. Experiments show that this strategy is feasible and effective.
下载: