Multi-Objective Optimization using Evolutionary Algorithms

Kalyanmoy Deb

ISBN 10: 047187339X / ISBN 13: 9780471873396

Verlag: John Wiley & Sons Inc, 2001

New copy - Usually dispatched within 4 working days. Bestandsnummer des Verkäufers B9780471873396

Inhaltsangabe:

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.

Über die Autorin bzw. den Autor:

Kalyanmoy Deb is an Indian computer scientist. Since 2013, Deb has held the Herman E. & Ruth J. Koenig Endowed Chair in the Department of Electrical and Computing Engineering at Michigan State University, which was established in 2001.

Bibliografische Details

Titel: Multi-Objective Optimization using ...
Verlag: John Wiley & Sons Inc
Erscheinungsdatum: 2001
Einband: Hardback
Zustand: New