Evolutionary Optimization

Evolutionary Optimization

AngličtinaPevná väzba
Springer
EAN: 9780792376545
Na objednávku
Predpokladané dodanie vo štvrtok, 23. mája 2024
146,49 €
Bežná cena: 162,77 €
Zľava 10 %
ks
Chcete tento titul ešte dnes?
kníhkupectvo Megabooks Banská Bystrica
nie je dostupné
kníhkupectvo Megabooks Bratislava
nie je dostupné
kníhkupectvo Megabooks Košice
nie je dostupné

Podrobné informácie

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.
EAN 9780792376545
ISBN 0792376544
Typ produktu Pevná väzba
Vydavateľ Springer
Dátum vydania 31. januára 2002
Stránky 418
Jazyk English
Rozmery 235 x 155
Krajina Netherlands
Čitatelia Professional & Scholarly
Ilustrácie XIV, 418 p.
Editori Mohammadian Masoud; Sarker, Ruhul; Xin Yao
Séria International Series in Operations Research & Management Science