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CALL FOR CHAPTERS
Proposals
Submission Deadline: 31 MARCH 2008
Full Chapters Due: 30 JUNE 2008
Nature-Inspired
Informatics for Intelligent Applications and Knowledge Discovery:
Implications in Business, Science and Engineering
A book edited by
Raymond Chiong
Swinburne University of Technology (Sarawak Campus), Malaysia
Introduction
Nature is always a source of inspiration. In recent years, nature has
stimulated many successful techniques, algorithms and computational
applications. When the complex nature is modelled with computational
processes, some conventionally difficult problems could be solved
through the design and development of novel computing systems. These
systems are often enthused by the metaphorical use of concepts,
principles and mechanisms based on natural patterns, behaviours and
living organisms. Various disciplines such as Business, Science and
Engineering nowadays strive to go beyond their current limits with the
adoption of these systems.
Objective of
the Book
The main objective of this book is to provide a central source of
reference on nature-inspired algorithms and their applications for
knowledge discovery in the fields of Business, Science and Engineering.
It will contain open-solicited and invited chapters written by leading
researchers and well-known academics in relevant fields. All articles
will be reviewed by three independent reviewers. The book will cover the
state-of-the-art as well as latest research discoveries and
applications, thus making it a valuable reference for a large community
of audiences.
Target
Audience
This book will be an important reference to researchers/academics
working in the field of natural computation and its related areas such
as artificial intelligence, multi-agent systems, machine learning, data
mining, etc. It will also be a potential resource for senior
undergraduate and postgraduate students.
Recommended
topics include, but are not limited to, the following:
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Artificial life
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Evolutionary computing
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Evolutionary games
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Evolutionary economics
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Neural computing, Bayesian networks, learning algorithms
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Particle swarm optimisation
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Ant
colony optimisation
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Artificial immune systems
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Membrane, molecular, cellular and DNA computing
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Hybrid methods with metaheuristics
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Integration of natural computing techniques in intelligent systems
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Implementation issues of natural computing techniques
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Natural computing approaches for multi-objective optimisation
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Natural computing approaches in natural language processing, image
processing, pattern recognition, planning and scheduling, information
security, software engineering, bioinformatics and data mining, etc
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Successful applications in Business, Science and Engineering problems
using natural computing approaches
Submission
Procedure
Researchers and practitioners are invited to submit on or before
March 31, 2008, a 2-3 page chapter proposal clearly explaining
the mission and concerns of his or her proposed chapter. Authors of
accepted proposals will be notified by April 28, 2008
about the status of their proposals and sent chapter guidelines. Full
chapters are expected to be submitted by June 30, 2008.
All submitted chapters will be reviewed on a double-blind review basis.
The book is scheduled to be published by IGI Global (formerly Idea Group
Inc.),
http://www.igi-global.com/, publisher of the IGI Publishing
(formerly Idea Group Publishing), Information Science Publishing, IRM
Press, CyberTech Publishing, Information Science Reference (formerly
Idea Group Reference), and Medical Information Science Reference
imprints.
Inquiries and
submissions can be forwarded electronically (Word document) or by mail
to:
Raymond Chiong
School of Information Technology
Swinburne University of Technology (Sarawak Campus)
State Complex, 93576 Kuching
Sarawak, Malaysia
Tel.: +60 82 416 353 • Fax: +60 82 423 594
E-mail:
rchiong@swinburne.edu.my
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