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Titlebook: Computing Tools for Modeling, Optimization and Simulation; Interfaces in Comput Manuel Laguna,José Luis González Velarde Book 2000 Springer

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书目名称Computing Tools for Modeling, Optimization and Simulation
副标题Interfaces in Comput
编辑Manuel Laguna,José Luis González Velarde
视频video
丛书名称Operations Research/Computer Science Interfaces Series
图书封面Titlebook: Computing Tools for Modeling, Optimization and Simulation; Interfaces in Comput Manuel Laguna,José Luis González Velarde Book 2000 Springer
描述.Computing Tools for Modeling, Optimization and Simulation.reflects the need for preserving the marriage between operationsresearch and computing in order to create more efficient and powerfulsoftware tools in the years ahead. The 17 papers included in thisvolume were carefully selected to cover a wide range of topics relatedto the interface between operations research and computer science. Thevolume includes the now perennial applications of rnetaheuristics(such as genetic algorithms, scatter search, and tabu search) as wellas research on global optimization, knowledge management, softwarernaintainability and object-oriented modeling. These topics reflectthe complexity and variety of the problems that current and futuresoftware tools must be capable of tackling. The OR/CS interface isfrequently at the core of successful applications and the developmentof new methodologies, making the research in this book a relevantreference in the future. .The editors‘ goal for this book has been to increase the interest inthe interface of computer science and operations research. Bothresearchers and practitioners will benefit from this book. Thetutorial papers may spark the interest of practitio
出版日期Book 2000
关键词Optimization algorithm; Optimization algorithms; algorithms; complexity; computer science; global optimiz
版次1
doihttps://doi.org/10.1007/978-1-4615-4567-5
isbn_softcover978-1-4613-7062-8
isbn_ebook978-1-4615-4567-5Series ISSN 1387-666X Series E-ISSN 2698-5489
issn_series 1387-666X
copyrightSpringer Science+Business Media New York 2000
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Sequential Testing of Series-Parallel Systems of Small Depth,omial time testing policy for ., and prove, generalising earlier results that it is cost-minimal in the average case sense, for two sub-families of series-parallel systems. We also demonstrate via examples that neither this algorithm nor some of its improved versions are optimal for general series-p
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Solving General Ring Network Design Problems by Meta-Heuristics,ally consist of constructing a ring network by selecting a node subset and corresponding direct links. Different requirements and objectives lead to various specific types of .-hard ring network design problems reported in the literature, each with its own algorithms. We exploit the similarities in
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Extremal Energy Models and Global Optimization,al—optima. Extremal energy point configuration models in computational chemistry and closely related areas provide a practically important, as well as numerically challenging area to test and apply GO strategies. First, we review several frequently used energy model forms. This is followed by a brie
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A Simulation-Based Policy Iteration Algorithm for Average Cost Unichain Markov Decision Processes,he unichain assumption, which is a weaker assumption than found in previous work. In this algorithm, 1) the problem is converted to a stochastic shortest path problem and a reference state can be chosen as any recurrent state under the current policy, in which case the reference state is not necessa
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