Multi-Objective Optimization (Wiley Interscience Series in Systems & Optimization)

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9780471873396: Multi-Objective Optimization (Wiley Interscience Series in Systems & Optimization)
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Book by Deb Kalyanmoy Kalyanmoy Deb

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Críticas:

"...discusses two multi--objective optimization procedures, namely the ideal procedure and the preference--based one." (Zentralblatt MATH, Vol. 970, 2001/20) Excerpt from Preface: "...provides an extensive discussion on the principles of multi--objective optimization and on a number of classical approaches." (Mathematical Reviews, 2002) "...As a survey, this book is exemplary and forms an essential resource for EMO researchers at the present time." (Siam Review, Vol.44, No.3, 2002) "...a readable account of a topic of current interest in operational research." (Mathematika, No.48, 2001) A"A...an outstandingly well--organized and clearly written account of the subjectA" (The Mathematical Gazette, July 2003)

Reseña del editor:

Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real--world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run.* Comprehensive coverage of this growing area of research* Carefully introduces each algorithm with examples and in--depth discussion* Includes many applications to real--world problems, including engineering design and scheduling* Includes discussion of advanced topics and future research* Can be used as a course text or for self--study* Accessible to those with limited knowledge of classical multi--objective optimization and evolutionary algorithms The integrated presentation of theory, algorithms and examples will benefit those working and researching in the areas of optimization, optimal design and evolutionary computing. This text provides an excellent introduction to the use of evolutionary algorithms in multi--objective optimization, allowing use as a graduate course text or for self--study.

"Sobre este título" puede pertenecer a otra edición de este libro.

Otras ediciones populares con el mismo título

9780470743614: Multi-Objective Optimization Using (Wiley Paperback)

Edición Destacada

ISBN 10:  0470743611 ISBN 13:  9780470743614
Editorial: John Wiley & Sons, 2009
Tapa blanda

9788126528042: MULTI-OBJECTIVE OPTIMIZATION USING EVOLUTIONARY ALGORITHMS

Wiley ..., 2010
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9789814126854: Multi Objective Optimization Using Evolutionary Algorithms

Wiley, 2001
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Descripción John Wiley and Sons Ltd, United Kingdom, 2001. Hardback. Condición: New. 1. Auflage. Language: English . Brand New Book. Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real--world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run.* Comprehensive coverage of this growing area of research* Carefully introduces each algorithm with examples and in--depth discussion* Includes many applications to real--world problems, including engineering design and scheduling* Includes discussion of advanced topics and future research* Can be used as a course text or for self--study* Accessible to those with limited knowledge of classical multi--objective optimization and evolutionary algorithms The integrated presentation of theory, algorithms and examples will benefit those working and researching in the areas of optimization, optimal design and evolutionary computing. This text provides an excellent introduction to the use of evolutionary algorithms in multi--objective optimization, allowing use as a graduate course text or for self--study. Nº de ref. del artículo: AAH9780471873396

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