Description: Tabu search method, the initial solution, neighborhood and tabu list size of the number of parameters such as have more stringent requirements, these parameters directly affect the ability to optimize the algorithm. This paper presents an improved tabu search method, it is used effectively to compress the search space, so that can improve search efficiency and global search capabilities. Short-term and long-term memory tabu list to ensure the algorithm to search to the global space, each point, and do not repeat the search. After checking and analysis, to prove that it is a good global heuristic search method
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