Applications of Multi-objective Evolutionary Algorithms

Applications of Multi-objective Evolutionary Algorithms PDF

Author: Carlos A. Coello Coello

Publisher: World Scientific

Published: 2004

Total Pages: 792

ISBN-13: 9812561064

DOWNLOAD EBOOK →

- 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 Algorithms for Solving Multi-Objective Problems

Evolutionary Algorithms for Solving Multi-Objective Problems PDF

Author: Carlos Coello Coello

Publisher: Springer Science & Business Media

Published: 2007-08-26

Total Pages: 810

ISBN-13: 0387367977

DOWNLOAD EBOOK →

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.

Multi-Objective Optimization using Evolutionary Algorithms

Multi-Objective Optimization using Evolutionary Algorithms PDF

Author: Kalyanmoy Deb

Publisher: John Wiley & Sons

Published: 2001-07-05

Total Pages: 540

ISBN-13: 9780471873396

DOWNLOAD EBOOK →

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.

Evolutionary Multiobjective Optimization

Evolutionary Multiobjective Optimization PDF

Author: Ajith Abraham

Publisher: Springer Science & Business Media

Published: 2005-09-05

Total Pages: 313

ISBN-13: 1846281377

DOWNLOAD EBOOK →

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.

Evolutionary Algorithms for Solving Multi-Objective Problems

Evolutionary Algorithms for Solving Multi-Objective Problems PDF

Author: Carlos Coello Coello

Publisher: Springer Science & Business Media

Published: 2007-09-18

Total Pages: 810

ISBN-13: 0387332545

DOWNLOAD EBOOK →

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.

Multiobjective Evolutionary Algorithms and Applications

Multiobjective Evolutionary Algorithms and Applications PDF

Author: Kay Chen Tan

Publisher: Springer Science & Business Media

Published: 2005-05-04

Total Pages: 314

ISBN-13: 9781852338367

DOWNLOAD EBOOK →

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.

Advances in Evolutionary Computing

Advances in Evolutionary Computing PDF

Author: Ashish Ghosh

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 1001

ISBN-13: 3642189652

DOWNLOAD EBOOK →

This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles deal with various theoretical aspects of EC and 17 articles demonstrate the success of EC methodologies. These articles are written by leading experts of the field from different countries all over the world.

Evolutionary Multi-criterion Optimization

Evolutionary Multi-criterion Optimization PDF

Author: Eckart Zitzler

Publisher: Springer Science & Business Media

Published: 2001-02-28

Total Pages: 725

ISBN-13: 3540417451

DOWNLOAD EBOOK →

This book constitutes the refereed proceedings of the First International Conference on Multi-Criterion Optimization, EMO 2001, held in Zurich, Switzerland in March 2001. The 45 revised full papers presented were carefully reviewed and selected from a total of 87 submissions. Also included are two tutorial surveys and two invited papers. The book is organized in topical sections on algorithm improvements, performance assessment and comparison, constraint handling and problem decomposition, uncertainty and noise, hybrid and alternative methods, scheduling, and applications of multi-objective optimization in a variety of fields.

Multiobjective Optimization

Multiobjective Optimization PDF

Author: Jürgen Branke

Publisher: Springer

Published: 2008-10-18

Total Pages: 481

ISBN-13: 3540889086

DOWNLOAD EBOOK →

Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable solution methods is increasing. The task is challenging due to the fact that, instead of a single optimal solution, multiobjective optimization results in a number of solutions with different trade-offs among criteria, also known as Pareto optimal or efficient solutions. Hence, a decision maker is needed to provide additional preference information and to identify the most satisfactory solution. Depending on the paradigm used, such information may be introduced before, during, or after the optimization process. Clearly, research and application in multiobjective optimization involve expertise in optimization as well as in decision support. This state-of-the-art survey originates from the International Seminar on Practical Approaches to Multiobjective Optimization, held in Dagstuhl Castle, Germany, in December 2006, which brought together leading experts from various contemporary multiobjective optimization fields, including evolutionary multiobjective optimization (EMO), multiple criteria decision making (MCDM) and multiple criteria decision aiding (MCDA). This book gives a unique and detailed account of the current status of research and applications in the field of multiobjective optimization. It contains 16 chapters grouped in the following 5 thematic sections: Basics on Multiobjective Optimization; Recent Interactive and Preference-Based Approaches; Visualization of Solutions; Modelling, Implementation and Applications; and Quality Assessment, Learning, and Future Challenges.

Parallel Problem Solving from Nature-PPSN VI

Parallel Problem Solving from Nature-PPSN VI PDF

Author: Marc Schoenauer

Publisher: Springer Science & Business Media

Published: 2000-09-06

Total Pages: 920

ISBN-13: 3540410562

DOWNLOAD EBOOK →

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.