Multiobjective Problem Solving From Nature

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Multiobjective Problem Solving from Nature

Author : Joshua Knowles,David Corne,Kalyanmoy Deb
Publisher : Springer Science & Business Media
Page : 413 pages
File Size : 49,8 Mb
Release : 2008-01-28
Category : Computers
ISBN : 9783540729631

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Multiobjective Problem Solving from Nature by Joshua Knowles,David Corne,Kalyanmoy Deb Pdf

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.

Multiobjective Problem Solving from Nature

Author : Joshua Knowles,David Corne,Kalyanmoy Deb
Publisher : Springer
Page : 428 pages
File Size : 47,6 Mb
Release : 2016-04-01
Category : Electronic
ISBN : 3662501198

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Multiobjective Problem Solving from Nature by Joshua Knowles,David Corne,Kalyanmoy Deb Pdf

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

Author : Carlos Coello Coello,Clarisse Dhaenens,Laetitia Jourdan
Publisher : Springer Science & Business Media
Page : 204 pages
File Size : 54,7 Mb
Release : 2010-02-04
Category : Mathematics
ISBN : 9783642112171

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Advances in Multi-Objective Nature Inspired Computing by Carlos Coello Coello,Clarisse Dhaenens,Laetitia Jourdan Pdf

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.

Parallel Problem Solving from Nature - PPSN VIII

Author : Xin Yao
Publisher : Springer Science & Business Media
Page : 1204 pages
File Size : 50,7 Mb
Release : 2004-09-13
Category : Computers
ISBN : 9783540230922

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Parallel Problem Solving from Nature - PPSN VIII by Xin Yao Pdf

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.

Parallel Problem Solving from Nature - PPSN X

Author : Günter Rudolph,Thomas Jansen,Simon M. Lucas,Carlo Poloni,Nicola Beume
Publisher : Springer
Page : 1183 pages
File Size : 52,8 Mb
Release : 2008-09-16
Category : Computers
ISBN : 9783540877004

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Parallel Problem Solving from Nature - PPSN X by Günter Rudolph,Thomas Jansen,Simon M. Lucas,Carlo Poloni,Nicola Beume Pdf

This book constitutes the refereed proceedings of the 10th International Conference on Parallel Problem Solving from Nature, PPSN 2008, held in Dortmund, Germany, in September 2008. The 114 revised full papers presented were carefully reviewed and selected from 206 submissions. The conference covers a wide range of topics, such as evolutionary computation, quantum computation, molecular computation, neural computation, artificial life, swarm intelligence, artificial ant systems, artificial immune systems, self-organizing systems, emergent behaviors, and applications to real-world problems. The paper are organized in topical sections on formal theory, new techniques, experimental analysis, multiobjective optimization, hybrid methods, and applications.

Evolutionary Algorithms for Solving Multi-Objective Problems

Author : Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen
Publisher : Springer Science & Business Media
Page : 810 pages
File Size : 51,6 Mb
Release : 2007-08-26
Category : Computers
ISBN : 9780387367972

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Evolutionary Algorithms for Solving Multi-Objective Problems by Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen Pdf

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.

Parallel Problem Solving from Nature-PPSN VI

Author : Marc Schoenauer
Publisher : Springer Science & Business Media
Page : 920 pages
File Size : 49,5 Mb
Release : 2000-09-06
Category : Computers
ISBN : 9783540410560

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Parallel Problem Solving from Nature-PPSN VI by Marc Schoenauer Pdf

This book constitutes the refereed proceedings of the 6th International Conference on Parallel Problem Solving from Nature, PPSN VI, held in Paris, France in September 2000. The 87 revised full papers presented together with two invited papers were carefully reviewed and selected from 168 submissions. The presentations are organized in topical sections on analysis and theory of evolutionary algorithms, genetic programming, scheduling, representations and operators, co-evolution, constraint handling techniques, noisy and non-stationary environments, combinatorial optimization, applications, machine learning and classifier systems, new algorithms and metaphors, and multiobjective optimization.

Evolutionary Multiobjective Optimization

Author : Ajith Abraham,Robert Goldberg
Publisher : Springer Science & Business Media
Page : 313 pages
File Size : 55,7 Mb
Release : 2005-09-05
Category : Computers
ISBN : 9781846281372

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Evolutionary Multiobjective Optimization by Ajith Abraham,Robert Goldberg Pdf

Evolutionary Multi-Objective Optimization is an expanding field of research. This book brings a collection of papers with some of the most recent advances in this field. The topic and content is currently very fashionable and has immense potential for practical applications and includes contributions from leading researchers in the field. Assembled in a compelling and well-organised fashion, Evolutionary Computation Based Multi-Criteria Optimization will prove beneficial for both academic and industrial scientists and engineers engaged in research and development and application of evolutionary algorithm based MCO. Packed with must-find information, this book is the first to comprehensively and clearly address the issue of evolutionary computation based MCO, and is an essential read for any researcher or practitioner of the technique.

Parallel Problem Solving from Nature - PPSN IX

Author : Thomas Philip Runarsson,Hans-Georg Beyer,Edmund Burke,Juan J. Merelo-Guervós,L. Darrell Whitley,Xin Yao
Publisher : Springer
Page : 1079 pages
File Size : 49,5 Mb
Release : 2006-10-06
Category : Computers
ISBN : 9783540389910

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Parallel Problem Solving from Nature - PPSN IX by Thomas Philip Runarsson,Hans-Georg Beyer,Edmund Burke,Juan J. Merelo-Guervós,L. Darrell Whitley,Xin Yao Pdf

This book constitutes the refereed proceedings of the 9th International Conference on Parallel Problem Solving from Nature, PPSN 2006. The book presents 106 revised full papers covering a wide range of topics, from evolutionary computation to swarm intelligence and bio-inspired computing to real-world applications. These are organized in topical sections on theory, new algorithms, applications, multi-objective optimization, evolutionary learning, as well as representations, operators, and empirical evaluation.

Multiobjective Evolutionary Algorithms and Applications

Author : Kay Chen Tan,Eik Fun Khor,Tong Heng Lee
Publisher : Springer Science & Business Media
Page : 314 pages
File Size : 49,5 Mb
Release : 2005-05-04
Category : Computers
ISBN : 1852338369

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Multiobjective Evolutionary Algorithms and Applications by Kay Chen Tan,Eik Fun Khor,Tong Heng Lee Pdf

Evolutionary multiobjective optimization is currently gaining a lot of attention, particularly for researchers in the evolutionary computation communities. Covers the authors’ recent research in the area of multiobjective evolutionary algorithms as well as its practical applications.

Applications of Multi-objective Evolutionary Algorithms

Author : Carlos A. Coello Coello,Gary B. Lamont
Publisher : World Scientific
Page : 792 pages
File Size : 43,8 Mb
Release : 2004
Category : Computers
ISBN : 9789812561060

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Applications of Multi-objective Evolutionary Algorithms by Carlos A. Coello Coello,Gary B. Lamont Pdf

- Detailed MOEA applications discussed by international experts - State-of-the-art practical insights in tackling statistical optimization with MOEAs - A unique monograph covering a wide spectrum of real-world applications - Step-by-step discussion of MOEA applications in a variety of domains

Evolutionary Optimization

Author : Ruhul Sarker,Masoud Mohammadian,Xin Yao
Publisher : Springer Science & Business Media
Page : 418 pages
File Size : 42,5 Mb
Release : 2006-04-11
Category : Business & Economics
ISBN : 9780306480416

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Evolutionary Optimization by Ruhul Sarker,Masoud Mohammadian,Xin Yao Pdf

Evolutionary computation techniques have attracted increasing att- tions in recent years for solving complex optimization problems. They are more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. E- lutionary computation techniques can deal with complex optimization problems better than traditional optimization techniques. However, most papers on the application of evolutionary computation techniques to Operations Research /Management Science (OR/MS) problems have scattered around in different journals and conference proceedings. They also tend to focus on a very special and narrow topic. It is the right time that an archival book series publishes a special volume which - cludes critical reviews of the state-of-art of those evolutionary com- tation techniques which have been found particularly useful for OR/MS problems, and a collection of papers which represent the latest devel- ment in tackling various OR/MS problems by evolutionary computation techniques. This special volume of the book series on Evolutionary - timization aims at filling in this gap in the current literature. The special volume consists of invited papers written by leading - searchers in the field. All papers were peer reviewed by at least two recognised reviewers. The book covers the foundation as well as the practical side of evolutionary optimization.

Multi-Objective Optimization using Evolutionary Algorithms

Author : Kalyanmoy Deb
Publisher : John Wiley & Sons
Page : 540 pages
File Size : 53,6 Mb
Release : 2001-07-05
Category : Mathematics
ISBN : 047187339X

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Multi-Objective Optimization using Evolutionary Algorithms by Kalyanmoy Deb Pdf

Optimierung mit mehreren Zielen, evolutionäre Algorithmen: Dieses Buch wendet sich vorrangig an Einsteiger, denn es werden kaum Vorkenntnisse vorausgesetzt. Geboten werden alle notwendigen Grundlagen, um die Theorie auf Probleme der Ingenieurtechnik, der Vorhersage und der Planung anzuwenden. Der Autor gibt auch einen Ausblick auf Forschungsaufgaben der Zukunft.

Parallel Problem Solving from Nature – PPSN XVI

Author : Thomas Bäck,Mike Preuss,André Deutz,Hao Wang,Carola Doerr,Michael Emmerich,Heike Trautmann
Publisher : Springer Nature
Page : 753 pages
File Size : 55,6 Mb
Release : 2020-09-02
Category : Computers
ISBN : 9783030581121

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Parallel Problem Solving from Nature – PPSN XVI by Thomas Bäck,Mike Preuss,André Deutz,Hao Wang,Carola Doerr,Michael Emmerich,Heike Trautmann Pdf

This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020. The 99 revised full papers were carefully reviewed and selected from 268 submissions. The topics cover classical subjects such as automated algorithm selection and configuration; Bayesian- and surrogate-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world applications; reinforcement learning; and theoretical aspects of nature-inspired optimization.

Parallel Problem Solving from Nature – PPSN XVII

Author : Günter Rudolph,Anna V. Kononova,Hernán Aguirre,Pascal Kerschke,Gabriela Ochoa,Tea Tušar
Publisher : Springer Nature
Page : 643 pages
File Size : 47,7 Mb
Release : 2022-08-15
Category : Computers
ISBN : 9783031147210

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Parallel Problem Solving from Nature – PPSN XVII by Günter Rudolph,Anna V. Kononova,Hernán Aguirre,Pascal Kerschke,Gabriela Ochoa,Tea Tušar Pdf

This two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference on Parallel Problem Solving from Nature, PPSN 2022, held in Dortmund, Germany, in September 2022. The 87 revised full papers were carefully reviewed and selected from numerous submissions. The conference presents a study of computing methods derived from natural models. Amorphous Computing, Artificial Life, Artificial Ant Systems, Artificial Immune Systems, Artificial Neural Networks, Cellular Automata, Evolutionary Computation, Swarm Computing, Self-Organizing Systems, Chemical Computation, Molecular Computation, Quantum Computation, Machine Learning, and Artificial Intelligence approaches using Natural Computing methods are just some of the topics covered in this field.