Multi-Objective Optimization Using Evolutionary Algorithms

Szerző: Kalyanmoy Deb

Nyelv:

Kötés: Kemény kötésű

Kiadó: John Wiley & Sons Inc

Elérhetőség: Beszállítói készleten

Küldés 10-18 napon belül

58 175 Ft

Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to m...

Információk a könyvről

Szerző

Kalyanmoy Deb

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2001

oldal

518

EAN

9780471873396

ISBN

047187339X

Enbook ID

04894430

Kiadó

John Wiley & Sons Inc

Súly

1052

Méretek

253 x 178 x 35

Teljes leírás

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.

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Multi-Objective Optimization Using Evolutionary Algorithms

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Optimization Models

Numerical Optimization

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