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Modern Optimization with R (Paperback, 2nd ed. 2021)
Loot Price: R2,607
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Modern Optimization with R (Paperback, 2nd ed. 2021)
Series: Use R!
Expected to ship within 10 - 15 working days
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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).
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