Modern Optimization with R (Use R!)

Modern Optimization with R (Use R!)

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.
Country USA
Brand Springer
Manufacturer Springer
Binding Paperback
ItemPartNumber 33 black & white illustrations, biograph
UPCs 003319082620
EANs 0003319082620
ReleaseDate 2014-09-07

Country	USA
Brand	Springer
Manufacturer	Springer
Binding	Paperback
ItemPartNumber	33 black & white illustrations, biograph
UPCs	003319082620
EANs	0003319082620
ReleaseDate	2014-09-07

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