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Titlebook: Handbook of Metaheuristics; Fred Glover,Gary A. Kochenberger Book 20031st edition Springer-Verlag US 2003 Constraint satisfaction.algorith

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書目名稱Handbook of Metaheuristics
編輯Fred Glover,Gary A. Kochenberger
視頻videohttp://file.papertrans.cn/422/421649/421649.mp4
叢書名稱International Series in Operations Research & Management Science
圖書封面Titlebook: Handbook of Metaheuristics;  Fred Glover,Gary A. Kochenberger Book 20031st edition Springer-Verlag US 2003 Constraint satisfaction.algorith
描述Metaheuristics, in their original definition, are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space. Over time, these methods have also come to include any procedures that employ strategies for overcoming the trap of local optimality in complex solution spaces, especially those procedures that utilize one or more neighborhood structures as a means of defining admissible moves to transition from one solution to another, or to build or destroy solutions in constructive and destructive processes. The degree to which neighborhoods are exploited varies according to the type of procedure. In the case of certain population-based procedures, such as genetic al- rithms, neighborhoods are implicitly (and somewhat restrictively) defined by reference to replacing components of one solution with those of another, by variously chosen rules of exchange popularly given the name of “crossover. ” In other population-based methods, based on the notion of path relinking, neighborhood structures are used in their full generality, in
出版日期Book 20031st edition
關(guān)鍵詞Constraint satisfaction; algorithms; combinatorial optimization; genetic algorithms; genetic programming
版次1
doihttps://doi.org/10.1007/b101874
isbn_ebook978-0-306-48056-0Series ISSN 0884-8289 Series E-ISSN 2214-7934
issn_series 0884-8289
copyrightSpringer-Verlag US 2003
The information of publication is updating

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The Ant Colony Optimization Metaheuristic: Algorithms, Applications, and Advances,astic gradient descent [92] (a well- known algorithm which has been extensively used in machine learning) in the space of pheromones. Similarly, it has been shown [41,94] that there are strong connections between ACO algorithms and the Cross-Entropy method [77]..From the experimental side, most of t
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Hyper-Heuristics: An Emerging Direction in Modern Search Technology,d be thought of as a (meta)-heuristic which operates on . level (meta-)heuristics. In this chapter we will introduce the idea and give a brief history of this emerging area. In addition, we will review some of the latest work to be published in the field.
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Michel Gendreauer Aufgaben, dient also gleichzeitig als L?sungsbuch für das genannte Lehrbuch. Neben den thematisch angeordneten übungen enth?lt das Buch zahlreiche Testklausuren. S?mtliche Testklausuren sind aus Original-Klausuren entstanden..978-3-658-09073-9978-3-658-09074-6
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0884-8289 he name of “crossover. ” In other population-based methods, based on the notion of path relinking, neighborhood structures are used in their full generality, in978-0-306-48056-0Series ISSN 0884-8289 Series E-ISSN 2214-7934
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Scatter Search and Path Relinking: Advances and Applications,mization problems. Based on formulations originally proposed in the 1960s for combining decision rules and problem constraints, SS uses strategies for combining solution vectors that have proved effective in a variety of problem settings. Path relinking (PR) has been suggested as an approach to inte
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An Introduction to Tabu Search,assical Local Search methods and on the basic elements of any TS heuristic, namely, the definition of the search space, the neighborhood structure, and the search memory. Other sections cover other important concepts such as search intensification and diversification and provide references to signif
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