Multi-Objective Optimization Using Evolutionary Algorithms

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9780471873396: Multi-Objective Optimization Using Evolutionary Algorithms

Multi-objective Optimization Using Evolutionary Algorithms Evolutionary algorithms are relatively new, powerful techniques used to find solutions to many real--world search and optimization problems. Focusing on these "thinking" algorithms, this book offers comprehensive coverage of these techniques, which are highly effective in finding multiple effective solutions in a single simulation run. Full description

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Multi–Objective Optimization using Evolutionary Algorithms

Kalyanmoy Deb
Indian Institute of Technology, Kanpur, India

The Wiley Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians and scientists.

Multi–Objective Optimization using Evolutionary Algorithms

Kalyanmoy Deb
Indian Institute of Technology, Kanpur, India

Evolutionary algorithms are very powerful techniques used to find solutions to 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.

  1. Comrephensive coverage of this growing area of research.
  2. Carefully introduces each algorithm with examples and in–depth discussion.
  3. Includes many applications to real–world problems, including engineering design and scheduling.
  4. Includes discussion of advanced topics and future research.
  5. Accessible to those with limited knowledge of multi–objective optimization and evolutionary algorithms

Provides an extensive discussion on the principles of multi–objective optimization and on a number of classical approaches.

This integrated presentation of theory, algorithms and examples will benefit those working in the areas of optimization, optimal design and evolutionary computing.

Présentation de l'éditeur :

The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists.

Evolutionary algorithms are very powerful techniques used to find solutions to 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.

  1. Comrephensive coverage of this growing area of research.
  2. Carefully introduces each algorithm with examples and in–depth discussion.
  3. Includes many applications to real–world problems, including engineering design and scheduling.
  4. Includes discussion of advanced topics and future research.
  5. Accessible to those with limited knowledge of multi–objective optimization and evolutionary algorithms

Provides an extensive discussion on the principles of multi–objective optimization and on a number of classical approaches.

This integrated presentation of theory, algorithms and examples will benefit those working in the areas of optimization, optimal design and evolutionary computing.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

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Description du livre John Wiley and Sons Ltd, United Kingdom, 2001. Hardback. État : New. 1. Auflage. 236 x 155 mm. 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. N° de réf. du libraire AAH9780471873396

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Kalyanmoy Deb
Edité par John Wiley and Sons Ltd, United Kingdom (2001)
ISBN 10 : 047187339X ISBN 13 : 9780471873396
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Description du livre John Wiley and Sons Ltd, United Kingdom, 2001. Hardback. État : New. 1. Auflage. 236 x 155 mm. 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. N° de réf. du libraire AAH9780471873396

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