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
Modern Optimization with R
β Scribed by Cortez, Paulo
- Publisher
- Springer International Publishing
- Year
- 2014
- Tongue
- English
- Leaves
- 174
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
- Introduction.- 2. R Basics.- 3. Blind Search.- 4. Local Search.- 5. Population-Based Search.- 6. Multi-Objective Optimization.- 7. Applications.
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<div>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
Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sam