An introduction to population approaches for optimization and hierarchical objective functions: A discussion on the role of tabu search
作者： Pablo Moscato
DOI: 10.1007/BF02022564
关键词: Hill climbing 、 Population 、 Combinatorial optimization 、 Beam search 、 Heuristic (computer science) 、 Metaheuristic 、 Tabu search 、 Mathematical optimization 、 Mathematics 、 Guided Local Search 、 Management Science and Operations Research 、 General Decision Sciences
摘要: Population approaches suitable for global combinatorial optimization are discussed in this paper. They are composed of a number of distinguishable individuals called "agents", each …
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