[alife] Engineering Evolutionary Intelligent Systems

[Ajith Abraham]

*Engineering Evolutionary Intelligent Systems*
**

Series: Studies in Computational Intelligence , Vol. 82
Editors: Ajith Abraham, Crina Grosan, Witold Pedrycz
Approx. 400 p., Hardcover
ISBN: 978-3-540-75395-7
http://www.springer.com/east/home/engineering?SGWID=5-175-22-173762620-0

Evolutionary design of intelligent systems is gaining much popularity due to
its capabilities in handling several real world problems involving
optimization, complexity, noisy and non-stationary environment, imprecision,
uncertainty and vagueness. This edited volume 'Engineering Evolutionary
Intelligent Systems' deals with the theoretical and methodological aspects,
as well as various evolutionary algorithm applications to many real world
problems originating from science, technology, business or commerce. This
volume comprises of 15 chapters including an introductory chapter which
covers the fundamental definitions and outlines some important research
challenges. Chapters were selected on the basis of fundamental
ideas/concepts rather than the thoroughness of techniques deployed.

Table of contents

Preface:
http://www.softcomputing.net/eeis-preface.pdf

Engineering Evolutionary Intelligent Systems: Methodologies, Architectures
and Reviews  -- Ajith Abraham and Crina Grosan
http://www.softcomputing.net/eeis.pdf

Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of
Rule-based Multi-layer Perceptron Architectures -- Sung-Kwun Oh and Witold
Pedrycz

Genetically Optimized Self-organizing Neural Networks Based on Polynomial
and Fuzzy Polynomial Neurons: Analysis and Design -- Sung-Kwun Oh and Witold
Pedrycz

Evolution of Inductive Self-organizing Networks -- Dongwon Kim and Gwi-Tae
Park

Recursive Pattern based Hybrid Supervised Training -- Kiruthika Ramanathan
and Sheng Uei Guan

Enhancing Recursive Supervised Learning Using Clustering and Combinatorial
Optimization (RSL-CC) -- Kiruthika Ramanathan and Sheng Uei Guan

Evolutionary Approaches to Rule Extraction from Neural Networks -- Urszula
Markowska-Kaczmar

Cluster-wise Design of Takagi and Sugeno Approach of Fuzzy Logic Controller
-- Tushar and Dilip Kumar Pratihar

Evolutionary Fuzzy Modelling for Drug Resistant HIV-1 Treatment Optimization
--
Mattia Prosperi and Giovanni Ulivi

A New Genetic Approach for Neural Network Design -- Antonia Azzini and
Andrea G.B. Tettamanzi

A Grammatical Genetic Programming Representation for Radial Basis Function
Networks -- Ian Dempsey, Anthony Brabazon, and Michael O'Neill

A Neural-Genetic Technique for Coastal Engineering: Determining Wave-induced
Seabed Liquefaction Depth -- Daeho Cha, Michael Blumenstein, Hong Zhang, and
Dong-Sheng Jeng

On the Design of Large-scale Cellular Mobile Networks Using Multi-population
Memetic Algorithms -- Alejandro Quintero and Samuel Pierre

A Hybrid Cellular Genetic Algorithm for the Capacitated Vehicle Routing
Problem --
Enrique Alba and Bernab´e Dorronsoro

Particle Swarm Optimization with Mutation for High Dimensional Problems --
Jeff Achtnig


More book information:
http://www.softcomputing.net/cec06/

http://www.springer.com/east/home/engineering?SGWID=5-175-22-173762620-0