|
|
|
Multi-Objective Optimization Using Evolutionary Algorithms
|
(Buch) |
Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!
| Inhalt: |
| 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.
* Comrephensive 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.
* 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. |
|
Auf Bestellung (Lieferzeit unbekannt)
Newsfeed | 
Facebook | 
Twitter
