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Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)

Carlos A. Coello
4.9/5 (33397 ratings)
Description:Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems. This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems, including test suites with associated performance based on a variety of appropriate metrics, as well as serial and parallel algorithm implementations.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation). To get started finding Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation), you are right to find our website which has a comprehensive collection of manuals listed.
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Pages
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PDF, EPUB & Kindle Edition
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ISBN
0387367977

Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)

Carlos A. Coello
4.4/5 (1290744 ratings)
Description: Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems. This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems, including test suites with associated performance based on a variety of appropriate metrics, as well as serial and parallel algorithm implementations.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation). To get started finding Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
0387367977

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