
Transactions on Computational Science VIII
C. J. Kenneth Tan(Editor)
Springer (Publisher)
1st Edition
Published on 19. October 2010
Book
Paperback/Softback
XIV, 167 pages
978-3-642-16235-0 (ISBN)
Description
The 8th issue of the Transactions on Computational Science has been divided into two parts. Part I, prepared by Guest Editors Nadia Nedjah, Abdelhamid Bouchachia, and Luiza de Macedo Mourelle, consists of 5 detailed papers, presenting state-of-the-art research results on adaptive models for evolutionary computation and their application in various dynamic environments. The 6 papers in Part II take an in-depth look at selected computational science research in the areas of geometric computing, Euclidean distance transform, distributed systems, segmentation, visualization of monotone data, and data interpolation.
More details
Series
Edition
1st Edition.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
75 s/w Abbildungen
XIV, 167 p. 75 illus.
Dimensions
Height: 0 mm
Width: 0 mm
Weight
288 gr
ISBN-13
978-3-642-16235-0 (9783642162350)
DOI
10.1007/978-3-642-16236-7
Schweitzer Classification
Other editions
Additional editions

C. J. Kenneth Tan
Transactions on Computational Science VIII
E-Book
09/2010
Springer
€53.49
Available for download
Content
Environmental Modeling and Identification Based on Changes in Sensory Information.- Polymorphic Particle Swarm Optimization.- C-Strategy: A Dynamic Adaptive Strategy for the CLONALG Algorithm.- A Comparison of Genotype Representations to Acquire Stock Trading Strategy Using Genetic Algorithms.- Automatic Adaptive Modeling of Fuzzy Systems Using Particle Swarm Optimization.- Computational Algorithm for Some Problems with Variable Geometrical Structure.- In-Place Linear-Time Algorithms for Euclidean Distance Transform.- A Foundation of Demand-Side Resource Management in Distributed Systems.- Modified Bias Field Fuzzy C-Means for Effective Segmentation of Brain MRI.- Visualization of Monotone Data by Rational Bi-cubic Interpolation.- C1 Monotone Scattered Data Interpolation.