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Multiobjective Problem Solving from Nature

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Release : 2008-01-28
Genre : Computers
Kind : eBook
Book Rating : 631/5 ( reviews)

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Book Synopsis Multiobjective Problem Solving from Nature by : Joshua Knowles

Download or read book Multiobjective Problem Solving from Nature written by Joshua Knowles. This book was released on 2008-01-28. Available in PDF, EPUB and Kindle. Book excerpt: This text examines how multiobjective evolutionary algorithms and related techniques can be used to solve problems, particularly in the disciplines of science and engineering. Contributions by leading researchers show how the concept of multiobjective optimization can be used to reformulate and resolve problems in areas such as constrained optimization, co-evolution, classification, inverse modeling, and design.

Advances in Multi-Objective Nature Inspired Computing

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Release : 2010-02-04
Genre : Mathematics
Kind : eBook
Book Rating : 17X/5 ( reviews)

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Book Synopsis Advances in Multi-Objective Nature Inspired Computing by : Carlos Coello Coello

Download or read book Advances in Multi-Objective Nature Inspired Computing written by Carlos Coello Coello. This book was released on 2010-02-04. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.

Multiobjective Problem Solving from Nature

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Release : 2016-04-01
Genre :
Kind : eBook
Book Rating : 191/5 ( reviews)

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Book Synopsis Multiobjective Problem Solving from Nature by : Joshua Knowles

Download or read book Multiobjective Problem Solving from Nature written by Joshua Knowles. This book was released on 2016-04-01. Available in PDF, EPUB and Kindle. Book excerpt: This text examines how multiobjective evolutionary algorithms and related techniques can be used to solve problems, particularly in the disciplines of science and engineering. Contributions by leading researchers show how the concept of multiobjective optimization can be used to reformulate and resolve problems in areas such as constrained optimization, co-evolution, classification, inverse modeling, and design.

Parallel Problem Solving from Nature - PPSN VIII

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Release : 2004-09-13
Genre : Computers
Kind : eBook
Book Rating : 920/5 ( reviews)

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Book Synopsis Parallel Problem Solving from Nature - PPSN VIII by : Xin Yao

Download or read book Parallel Problem Solving from Nature - PPSN VIII written by Xin Yao. This book was released on 2004-09-13. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Parallel Problem Solving from Nature, PPSN 2004, held in Birmingham, UK, in September 2004. The 119 revised full papers presented were carefully reviewed and selected from 358 submissions. The papers address all current issues in biologically inspired computing; they are organized in topical sections on theoretical and foundational issues, new algorithms, applications, multi-objective optimization, co-evolution, robotics and multi-agent systems, and learning classifier systems and data mining.

Evolutionary Algorithms for Solving Multi-Objective Problems

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Release : 2007-08-26
Genre : Computers
Kind : eBook
Book Rating : 977/5 ( reviews)

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Book Synopsis Evolutionary Algorithms for Solving Multi-Objective Problems by : Carlos Coello Coello

Download or read book Evolutionary Algorithms for Solving Multi-Objective Problems written by Carlos Coello Coello. This book was released on 2007-08-26. Available in PDF, EPUB and Kindle. Book excerpt: 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. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.

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