Modern optimization with R
Material type: TextSeries: Use R!Publication details: New York : Springer, ©2014Description: XIII, 188 p. : ill. ; 23 cmISBN:- 9783319082622
- 519.6 23 COR-M
Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
Books | IIITD General Stacks | Mathematics | 519.6 COR-M (Browse shelf(Opens below)) | Available | Gifted by Dr. Prasoon Tiwari | G02122 |
Browsing IIITD shelves, Shelving location: General Stacks, Collection: Mathematics Close shelf browser (Hides shelf browser)
519.6 BIO-M Mathematical methods in optimization | 519.6 BOY-C Convex optimization | 519.6 CHO-I An introduction to optimization | 519.6 COR-M Modern optimization with R | 519.6 LAN-O Optimization | 519.6 NOC-N Numerical optimization | 519.6024 BEL-O Optimization concepts and applications in engineering |
This book includes bibliographical references and index.
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.
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