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- W207102725 abstract "In local search methods, even when they are used in sophisticated implementations of metaheuristics, basic neighborhoods are generally applied. The best neighbor can be quickly identified but, on the other hand, these neighborhoods give to the search a low visibility of the global search space to the detriment of the efficiency of the method. That is the first reason why we present in this paper new neighborhood structures, namely the neighborhood tree and the Mimausa neighborhood. Used in a local search method, these structures intensify the search around the current solution and may ensure a quicker convergence. These neighborhood structures could also be of interest for a Variable Neighborhood Search or Descent where a set of various neighborhood structures is required." @default.
- W207102725 created "2016-06-24" @default.
- W207102725 creator A5064302606 @default.
- W207102725 date "2002-01-01" @default.
- W207102725 modified "2023-09-23" @default.
- W207102725 title "Intensification Neighborhoods for Local Search Methods" @default.
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- W207102725 doi "https://doi.org/10.1007/978-1-4615-1507-4_22" @default.
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