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Buchbeschreibung Soft Cover. Zustand: new. Bestandsnummer des Verkäufers 9783030728182
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Buchbeschreibung Zustand: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Bestandsnummer des Verkäufers ria9783030728182_lsuk
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Buchbeschreibung PF. Zustand: New. Bestandsnummer des Verkäufers 6666-IUK-9783030728182
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Buchbeschreibung Zustand: New. Bestandsnummer des Verkäufers ABLIING23Mar3113020028125
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Buchbeschreibung Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories 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.This new edition integrates the latest R packages through text and code examples. It also discusses new topics, such as: the impact of artificial intelligence and business analytics in modern optimization tasks; the creation of interactive Web applications; usage of parallel computing; and more modern optimization algorithms (e.g., iterated racing, ant colony optimization, grammatical evolution). 272 pp. Englisch. Bestandsnummer des Verkäufers 9783030728182
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Buchbeschreibung Zustand: New. Buy with confidence! Book is in new, never-used condition 0.84. Bestandsnummer des Verkäufers bk3030728188xvz189zvxnew
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Buchbeschreibung Zustand: New. Bestandsnummer des Verkäufers I-9783030728182
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Buchbeschreibung Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers use of software language R for a spectrum of modern optimization methodsIncludes exercise sets and solutionsSuitable for undergraduate and graduate students in Computer Science and Information Technology, and for&nbs. Bestandsnummer des Verkäufers 458553656
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Buchbeschreibung Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories 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.This new edition integrates the latest R packages through text and code examples. It also discusses new topics, such as: the impact of artificial intelligence and business analytics in modern optimization tasks; the creation of interactive Web applications; usage of parallel computing; and more modern optimization algorithms (e.g., iterated racing, ant colony optimization, grammatical evolution). Bestandsnummer des Verkäufers 9783030728182
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Buchbeschreibung Paperback. Zustand: Brand New. 2nd edition. 271 pages. 9.25x6.10x0.62 inches. In Stock. Bestandsnummer des Verkäufers x-3030728188
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