Name: Evolutionary Optimization (en Inglés)
Price: 542.31 PEN
Availability: InStock
Author: Sarker, Ruhul ; Mohammadian, Masoud ; Xin Yao
ISBN: 9781475775709

portada Evolutionary Optimization (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Sarker, Ruhul ; Mohammadian, Masoud ; Xin Yao

Idioma

Inglés

N° páginas

418

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 2.3 cm

Peso

0.61 kg.

ISBN13

9781475775709

Categorías

Gestión y técnicas de gestión
Investigación operativa
Medicina: cuestiones generales

Evolutionary Optimization (en Inglés)

Sarker, Ruhul ; Mohammadian, Masoud ; Xin Yao (Autor) · Springer · Tapa Blanda

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Reseña del libro "Evolutionary Optimization (en Inglés)"

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.