[Neuroscience] Call for Book Chapters - Springer SCI Series

Ajith Abraham abraham.ajith at gmail.com
Wed Jan 4 06:11:32 EST 2006


Hybrid Evolutionary Systems


Evolutionary Computation has become an important problem solving
methodology among many researchers working in the area of
computational intelligence. The population based collective learning
process, self adaptation and robustness are some of the key features
of evolutionary algorithms when compared to other global optimization
techniques. Evolutionary computation has been widely accepted for
solving several important practical applications in engineering,
business, commerce etc. As we all know, the problems of the future
will be more complicated in terms of complexity and data volume.

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.
A fundamental stimulus to the investigations of hybrid approach is the
awareness that combined approaches will be necessary to solve some of
the real world problems. This edited volume is targeted to present the
latest state-of-the-art methodologies in 'Hybrid Evolutionary
Systems'. Editors invite authors to submit their original and
unpublished work that communicates current research on 'Hybrid
Evolutionary Systems', regarding both the theoretical and
methodological aspects, as well as various applications to many real
world problems from science, technology, business or commerce.

Topics of interest include but not limited to the following:

I. Optimizing the Performance of Evolutionary Algorithms

* Neural networks assisted evolutionary computation
* Bayesian methods assisted evolutionary computation
* Fuzzy system assisted evolutionary computation
* Rough sets assisted evolutionary computation
* Hybridization of evolutionary algorithms with particle swarm optimization
* Hybridization of evolutionary algorithms with other global
optimization techniques (simulated annealing, Tabu search, GRASP etc.)
* Hybridization of evolutionary algorithms with bacterial foraging
* Hybridization of evolutionary algorithms with molecular computing
(DNA computing and membrane computing)
* Hybridization of evolutionary algorithms with quantum computing
* Hybridization of evolutionary algorithms with optical computing
* Hybridization of evolutionary algorithms with other bionics

II. Optimization of Intelligent Systems Using Evolutionary Computation

* Evolutionary artificial neural networks
* Evolutionary fuzzy systems (genetic fuzzy systems)
* Integration with connectionist learning and fuzzy inference systems
* Integration of evolutionary computation with case-based reasoning,
inductive logic programming, grammatical inference etc.
* Integration with Multi-Agent Systems

III. This volume is also oriented towards real world applications
where a direct approach might fail.

* Multiobjective optimization applications
* Financial modeling
* Intrusion detection and cryptography
* NP hard problems
* Bioinformatics
* Data mining
* Knowledge management
* Natural language processing
* Image processing
* Nonlinear network problems
* Planning and scheduling
* Brain-computer interface technologies

Chapters Submission

The book is intended to be published in the Springer Verlag, Series -
'Studies in Computational Intelligence'. Please prepare the manuscript
using the author guidelines and format given in the following link:
Author Guidelines

** Author Guidelines and Format **

Authors are invited to submit their original and unpublished work by
email to <computational.intelligence at gmail.com>. Papers have to be no
more than 40 pages length. All chapters will be peer - reviewed by
three or more independent referees.

The time schedule for this publication is given below.


Authors Intention to Contribute (with an abstract): January 15, 2006
Chapter Submission: February 28, 2006
Notification of Acceptance: April 30, 2006
Camera-ready Submission: June 15, 2006
Publication: September 2006

Volume Editors

Crina Grosan Ph.D.
Babes-Bolyai University Cluj-Napoca, Romania

Ajith Abraham Ph.D.
Chung-Ang University Seoul, Korea

Please direct all your queries to <computational.intelligence at gmail.com>

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