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＜電子ブック＞
Modern Optimization with R / by Paulo Cortez
(Use R!. ISSN:21975744)

版	1st ed. 2014.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2014
本文言語	英語
大きさ	XIII, 188 p. 33 illus : online resource
著者標目	*Cortez, Paulo author SpringerLink (Online service)
件　名	LCSH:Mathematical optimization FREE:Optimization FREE:Continuous Optimization FREE:Discrete Optimization
一般注記	1. Introduction -- 2. R Basics -- 3. Blind Search -- 4. Local Search -- 5. Population-Based Search -- 6. Multi-Objective Optimization -- 7. Applications The goal of this book is to gather in a single document the most relevant concepts related to modern optimization methods, showing how such concepts and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for solving complex problems for which no specialized optimization algorithm has been developed. These methods often yield high quality solutions with a more reasonable use of computational resources (e.g. memory and processing effort). Examples of popular modern methods discussed in this book are: simulated annealing; tabu search; genetic algorithms; differential evolution; and particle swarm optimization. This book is suitable for undergraduate and graduate students in Computer Science, Information Technology, and related areas, as well as data analysts interested in exploring modern optimization methods using R HTTP:URL=https://doi.org/10.1007/978-3-319-08263-9

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