Evolutionary computation techniques have attracted increasing att- tions in recent years for solving complex optimization problems. They are more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. E- lutionary computation techniques can deal with complex optimization problems better than traditional optimization techniques.
However, most papers on the application of evolutionary computation techniques to Operations Research /Management Science (OR/MS) problems have scattered around in different journals and conference proceedings. They also tend to focus on a very special and narrow topic. It is the right time that an archival book series publishes a special volume which - cludes critical reviews of the state-of-art of those evolutionary com- tation techniques which have been found particularly useful for OR/MS problems, and a collection of papers which represent the latest devel- ment in tackling various OR/MS problems by evolutionary computation techniques.
This special volume of the book series on Evolutionary - timization aims at filling in this gap in the current literature. The special volume consists of invited papers written by leading - searchers in the field. All papers were peer reviewed by at least two recognised reviewers.
The book covers the foundation as well as the practical side of evolutionary optimization.
| ISBN: | 9780792376545 |
| Publication date: | 31st January 2002 |
| Author: | Ruhul A Sarker, Masoud Mohammadian, Xin Yao |
| Publisher: | Springer an imprint of Springer US |
| Format: | Hardback |
| Pagination: | 418 pages |
| Series: | International Series in Operations Research & Management Science |
| Genres: |
Business strategy Management decision making Operational research Optimization Artificial intelligence |
Evolutionary computation techniques have attracted increasing att- tions in recent years for solving complex optimization problems. They are more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems.
Evolutionary Optimization features in the following genres: Business strategy, Management decision making, Operational research, Optimization, Artificial intelligence
Hardback. Not Available.
Evolutionary Optimization was written by Ruhul A Sarker, Masoud Mohammadian, Xin Yao and published by Springer an imprint of Springer US
Evolutionary Optimization has 418 pages
Yes it is part of International Series in Operations Research & Management Science series