.png){kind=logo}
Stock image for illustration purposes only - book cover, edition or condition may vary.
Biologically-Inspired Optimisation Methods
. Ed(S): Lewis, Andrew; Mostaghim, Sanaz; Randall, Marcus
€ 283.22
FREE Delivery in Ireland
Description for Biologically-Inspired Optimisation Methods
Paperback. This book covers the latest theories, applications and techniques in Biologically-Inspired Optimisation Methods. Many chapters derive from studies presented at workshops and international conferences on e-Science, Grid Computing and Evolutionary computation. Editor(s): Lewis, Andrew; Mostaghim, Sanaz; Randall, Marcus. Series: Studies in Computational Intelligence. Num Pages: 372 pages, 55 black & white tables, biography. BIC Classification: TBJ; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 19. Weight in Grams: 569.
Throughout the evolutionary history of this planet, biological systems have been able to adapt, survive and ?ourish despite the turmoils and upheavals of the environment. This ability has long fascinated and inspired people to emulate and adapt natural processes for application in the arti?cial world of human endeavours. The realm of optimisation problems is no exception. In fact, in recent years biological systems have been the inspiration of the majority of meta-heuristic search algorithms including, but not limited to, genetic algorithms,particle swarmoptimisation, ant colony optimisation and extremal optimisation. This book presentsa continuum ofbiologicallyinspired optimisation,from the theoretical to the practical. We ... Read more
Throughout the evolutionary history of this planet, biological systems have been able to adapt, survive and ?ourish despite the turmoils and upheavals of the environment. This ability has long fascinated and inspired people to emulate and adapt natural processes for application in the arti?cial world of human endeavours. The realm of optimisation problems is no exception. In fact, in recent years biological systems have been the inspiration of the majority of meta-heuristic search algorithms including, but not limited to, genetic algorithms,particle swarmoptimisation, ant colony optimisation and extremal optimisation. This book presentsa continuum ofbiologicallyinspired optimisation,from the theoretical to the practical. We ... Read more
Product Details
Format
Paperback
Publication date
2010
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
372
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
360
Place of Publication
Berlin, Germany
ISBN
9783642101779
SKU
V9783642101779
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Biologically-Inspired Optimisation Methods