Parameter Setting in Evolutionary Algorithms is popular PDF and ePub book, written by F.J. Lobo in 2007-04-03, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Parameter Setting in Evolutionary Algorithms can be Read Online from any device for your convenience.
Parameter Setting in Evolutionary Algorithms Book PDF Summary
One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the operators themselves. This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions. The book covers a broad area of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. It is a recommended read for researchers and practitioners of evolutionary computation and heuristic methods.
Detail Book of Parameter Setting in Evolutionary Algorithms PDF
- Author : F.J. Lobo
- Release : 03 April 2007
- Publisher : Springer
- ISBN : 9783540694328
- Genre : Technology & Engineering
- Total Page : 318 pages
- Language : English
- PDF File Size : 19,6 Mb
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