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Modern Optimization with R

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Modern Optimization with R/ by Paulo Cortez.
作者:	Cortez, Paulo.
面頁冊數:	XVII, 254 p. 43 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics . -
電子資源:	https://doi.org/10.1007/978-3-030-72819-9
ISBN:	9783030728199

Modern Optimization with R
Cortez, Paulo.

Modern Optimization with R[electronic resource] /by Paulo Cortez. - 2nd ed. 2021. - XVII, 254 p. 43 illus.online resource. - Use R!,2197-5744. - Use R!,.

Chapter 1. introduction -- Chapter 2. R. Basics -- Chapter 3. Blind Search -- Chapter 4. Local Search -- Chapter 5. Population Based Search -- Chapter 6. Multi-Object Optimization.

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. 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). .

ISBN: 9783030728199

Standard No.: 10.1007/978-3-030-72819-9doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

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