Evolutionary optimization /

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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser:
Sarker, Ruhul A., Mohammadian, Masoud., Yao, Xin
Weitere Verfasser:
Mohammadian, Masoud, Yao, Xin
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Boston : Kluwer Academic Publishers, c2002.
Ausgabe:
1st ed. 2002.
Zusammenfassung:
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.
Umfang:
1 online resource (433 p.)
Anmerkungen:
Description based upon print version of record.
Anmerkungen:
English
Bibliografie:
Includes bibliographical references and index.
ISBN:
1-280-46221-3
9786610462216
0-306-48041-7
Schlagworte:
Mathematical optimization.
Operations research.
Evolutionary programming (Computer science)
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