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Titlebook: Integer Optimization by Local Search; A Domain-Independent Joachim Paul Walser Book 1999 Springer-Verlag Berlin Heidelberg 1999 Extension.L

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书目名称Integer Optimization by Local Search
副标题A Domain-Independent
编辑Joachim Paul Walser
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Integer Optimization by Local Search; A Domain-Independent Joachim Paul Walser Book 1999 Springer-Verlag Berlin Heidelberg 1999 Extension.L
描述Integer Optimization addresses a wide spectrum of practically important optimization problems and represents a major challenge for algorithmics. The goal of integer optimization is to solve a system of constraints and optimization criteria over discrete variables..Integer Optimization by Local Search. introduces a new approach to domain-independent integer optimization, which, unlike traditional strategies, is based on local search. It develops the central concepts and strategies of integer local search and describes possible combinations with classical methods from linear programming. The surprising effectiveness of the approach is demonstrated in a variety of case studies on large-scale, realistic problems, including production planning, timetabling, radar surveillance, and sports scheduling. The monograph is written for practitioners and researchers from artificial intelligence and operations research.
出版日期Book 1999
关键词Extension; Local Search; Planning; Variable; algorithmics; algorithms; artificial intelligence; combinatori
版次1
doihttps://doi.org/10.1007/3-540-48369-1
isbn_softcover978-3-540-66367-6
isbn_ebook978-3-540-48369-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1999
The information of publication is updating

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Covering and Assignment,trial project at the Swedish Institute for Computer Science (SICS), while the second problem arose from an operating application at the Universität des Saarlandes. Both studies in this chapter will focus on performance variation of integer local search and IP branch-and-bound with increasing problem size.
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Introduction,Research in this area is situated in the interface between artificial intelligence and operations research. Since the two fields have been relatively separated in their past, terminology conflicts occasionally arise that we will attempt to point out.
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Frameworks for Combinatorial Optimization,ould be seen as an approach that can be tailored to many different optimization problems by adapting its conceptual components to the respective problem context. We also discuss successful local search methods for solving propositional satisfiability problems.
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Introduction, and optimization criteria. This monograph describes and investigates new domain-independent local search strategies for linear integer optimization. This chapter briefly introduces integer optimization and heuristics, and presents an outline of integer local search, the approach to integer optimiza
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