[info] [alife] Book release - Hybrid Evolutionary Algorithms

[Eugen Leitl]

----- Forwarded message from Ajith Abraham <ajith.abraham at ieee.org> -----

From: Ajith Abraham <ajith.abraham at ieee.org>
Date: Mon, 13 Aug 2007 18:05:12 +0200
To: alife-announce at lists.idyll.org, comp.ai.genetic at googlegroups.com,
	comp.ai.fuzzy at googlegroups.com,
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	Evolutionary Computation Digest <EC-DIGEST-L at mail04.gmu.edu>,
	gascheduling at jiscmail.ac.uk
Subject: [alife] Book release - Hybrid Evolutionary Algorithms
Reply-To: abraham.ajith at gmail.com

---- New Book Release ----

*Hybrid Evolutionary Algorithms*

Series: Studies in Computational Intelligence , Vol. 75
2007, XVI, 404 p. 207 illus., Hardcover
ISBN: 978-3-540-73296-9
http://www.springer.com/east/home/engineering?SGWID=5-175-22-173746219-0

Hybridization of evolutionary algorithms is getting popular due to their
capabilities in handling several real world problems involving complexity,
noisy environment, imprecision, uncertainty and vagueness. This edited
volume is targeted to present the latest state-of-the-art methodologies in
'Hybrid Evolutionary Algorithms'. This book deals with the theoretical and
methodological aspects, as well as various applications to many real world
problems from science, technology, business or commerce. This volume
comprises of 14 chapters including an introductory chapter giving the
fundamental definitions and some important research challenges.


Editors:

*Crina Grosan* -->> http://www.cs.ubbcluj.ro/~cgrosan/
*Ajith Abraham* -->> http://www.softcomputing.net/publication.html
*Hisao Ishibuchi* -->>
http://www.ie.osakafu-u.ac.jp/~hisaoi/ci_lab_e/personal/ishibuchi/


Book preface: http://www.softcomputing.net/cec06/preface-hea.pdf
Introductory Chapter:

Table of contents:

Hybrid Evolutionary Algorithms: Methodologies, Architectures and Reviews
Crina Grosan and Ajith Abraham
http://www.softcomputing.net/hea1.pdf

Quantum-Inspired Evolutionary Algorithm for Numerical Optimization
André V. Abs da Cruz and Marley M. B. R. Vellasco and Marco Aurélio
C.Pacheco

Enhanced Evolutionary Algorithms for Multidisciplinary Design Optimization:
a Control Engineering Perspective
Gabriella Dellino, Paolo Lino, Carlo Meloni*, Alessandro Rizzo

Hybrid Evolutionary Algorithms and Clustering Search
Alexandre C. M. Oliveira, Luiz A. N. Lorena

A Novel Hybrid Algorithm for Function Optimization: Particle Swarm Assisted
Incremental Evolution Strategy
Wenting Mo, Sheng-Uei Guan, Sadasivan Puthusserypady K

An Efficient Nearest Neighbor Classifier
Ros Frédéric, Guillaume Serge

Hybrid Genetic - Particle Swarm Optimization Algorithm
Dong Hwa Kim, Ajith Abraham, Kaoro Hirota

A Hybrid Genetic Algorithm and Bacterial Foraging Approach for Global
Optimization and Robust Tuning of PID Controller with Disturbance Rejection
Dong Hwa Kim, Ajith Abraham

Memetic Algorithms Parametric Optimization for Microlithography
Christoph Dürr, Tim Fühner, Bernd Tollkühn, Andreas Erdmann, Gabriella

Significance of Hybrid Evolutionary Computation for Ab Initio Protein
Folding Prediction
Md Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley

A Hybrid Evolutionary Heuristic for Job Scheduling on Computational Grids
Fatos Xhafa

Clustering Gene-Expression Data: A Hybrid Approach that Iterates Between
k-Means and Evolutionary Search
E. R. Hruschka, L. N. de Castro, R. J. G. B. Campello

Robust Parametric Image Registration
Felix Calderon, Juan J. Flores, Leonardo Romero

Pareto Evolutionary Algorithm Hybridized with Local Search for Biobjective
TSP
Rajeev Kumar and P. K. Singh


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Eugen* Leitl <a href="http://leitl.org">leitl</a> http://leitl.org
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