Modern Optimization with R Modern Optimization with R
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Modern Optimization with R

    • ‏54٫99 US$
    • ‏54٫99 US$

وصف الناشر

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.

النوع
علم وطبيعة
تاريخ النشر
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٦ سبتمبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Computational Intelligence in Expensive Optimization Problems Computational Intelligence in Expensive Optimization Problems
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Evolutionary Algorithms Evolutionary Algorithms
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Intelligent Systems in Oil Field Development under Uncertainty Intelligent Systems in Oil Field Development under Uncertainty
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Advances in Biomedical Infrastructure 2013 Advances in Biomedical Infrastructure 2013
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Parallel Problem Solving from Nature – PPSN XV Parallel Problem Solving from Nature – PPSN XV
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Introduction to Nature-Inspired Optimization Introduction to Nature-Inspired Optimization
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Modern Optimization with R Modern Optimization with R
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Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track
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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track
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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track
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Progress in Artificial Intelligence Progress in Artificial Intelligence
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Artificial Intelligence Applications and Innovations Artificial Intelligence Applications and Innovations
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ggplot2 ggplot2
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Data Mining with Rattle and R Data Mining with Rattle and R
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Data Manipulation with R Data Manipulation with R
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Introductory Time Series with R Introductory Time Series with R
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Business Analytics for Managers Business Analytics for Managers
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A Beginner's Guide to R A Beginner's Guide to R
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