Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering

Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering

Indexed In: SCOPUS
Release Date: July, 2009|Copyright: © 2010 |Pages: 450
DOI: 10.4018/978-1-60566-705-8
ISBN13: 9781605667058|ISBN10: 1605667056|EISBN13: 9781605667065
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Description & Coverage
Description:

Recently, nature has stimulated many successful techniques, algorithms, and computational applications allowing conventionally difficult problems to be solved through novel computing systems.

Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering provides the latest findings in nature-inspired algorithms and their applications for breakthroughs in a wide range of disciplinary fields. This defining reference collection contains chapters written by leading researchers and well-known academicians within the field, offering readers a valuable and enriched accumulation of knowledge.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Ant colony optimization
  • Artificial life-based vegetation
  • Automatic Speaker Verification
  • Biodiversity research
  • Cognitive simulation
  • Combinational circuit design
  • Craniofacial superimposition
  • Estimation of distribution algorithms
  • Evolutionary Computing
  • Forward rate prediction
  • Genetic Programming
  • Human genetics
  • Intelligent business process execution
  • Multimodal genetic algorithms
  • Nature-inspired informatics
  • Nature-inspired solutions
  • Neural networks in medicine
  • Particle Swarm Optimization
  • Systemic computation
  • Telecommunication network design
Reviews & Statements

This book examines the study of using computational techniques and tools inspired in part by nature and natural systems for the collection and organisation of information, which will in turn produce knowledge.

– Raymond Chiong, Swinburne University of Technology, Malaysia
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Editor/Author Biographies
Raymond Chiong is a tenured academic at the School of Computing & Design, Swinburne University of Technology (Sarawak Campus, Malaysia). He is leading the Intelligent Informatics Research Group under the Information & Security Research Lab (iSECURES Lab). He serves as an associate editor for the Interdisciplinary Journal of Information, Knowledge, and Management (IJIKM), and reviews for IEEE Transactions on Evolutionary Computation and Springer’s Memetic Computing. He also serves in the IEEE Computer Society Technical Committee on Intelligent Informatics (TCII), IASTED Technical Committee on Artificial Intelligence, as well as IASTED Technical Committee on Modelling and Simulation. His main research interests include nature-inspired computing and its application to complex systems. He has numerous publications in books, international journals and conference proceedings, and is currently involved with four edited books.
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Editorial Advisory Board
  • Peter J Bentley, University College London, UK
  • Lubo Jankovic, University of Birmingham, UK
  • Bob McKay, Seoul National University, Korea
  • Asoke K Nandi, University of Liverpool, UK
  • Antonio J Nebro, University of Málaga, Spain
  • Ralf Salomon, University of Rostock, Germany
  • Lee Seldon, Swinburne University of Technology (Sarawak Campus), Malaysia
  • Patrick Siarry, Université Paris XII Val de Marne, France
  • Jason Teo, Universiti Malaysia Sabah, Malaysia
  • Dennis Wong, Swinburne University of Technology (Sarawak Campus), Malaysia
  • Clinton Woodward, Swinburne University of Technology, Australia