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Transactions on Computational Science VIII: Lecture Notes in Computer Science, cartea 6260

Editat de C. J. Kenneth Tan
en Limba Engleză Paperback – 19 oct 2010
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.
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Specificații

ISBN-13: 9783642162350
ISBN-10: 3642162355
Pagini: 181
Ilustrații: XIV, 167 p. 75 illus.
Greutate: 0.3 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Transactions on Computational Science

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Caracteristici

Reflects recent developments in the field of Computational Science Takes a close look at adaptive models for evolutionary computing Focuses on up-to-date research in areas such as geometric computing and distributed systems