Special issue of Int. J. Artificial Intelligence (IJAI) on Metaheuristics in Artificial Intelligence

Nature-inspired metaheuristic algorithms are emerging as powerful and promising techniques in optimization, classifications and artificial intelligence. Broadly speaking, neural networks and support vector machines are metaheuristic algorithms, though they are traditionally belong to specialized subjects. However, as these algorithms require training and the values of parameters need to be learned, they can be considered as heuristic. It is no exaggeration to say the artificial intelligence is heuristic, as computational intelligence at the moment is largely by trial and error.

Optimization is an intelligent process if true optimal solutions to highly nonlinear, complex optimization need to be found in a reasonably time scale. Most real-world problems are NP-hard, and thus no efficient algorithm exist at the moment. Many applications can be considered as an optimization process to reduce errors and improve prediction accuracy in their own (but often different) context. Good examples are machine learning, data mining, and business intelligence.

This special issue invites contributions and reviews of the latest developments in metaheuristics and their applications in artificial intelligence. Topics include (but they are not limited to)

• Nature-inspired metaheuristic algorithms (e.g., ant and bee algorithms, cuckoo search, genetic algorithms, firefly algorithm, particle swarm optimization)
• Global optimization and case studies using metaheuristics
• Neural networks and support vector machine (e.g., regression, classification, pattern recognition)
• Business intelligence, optimization and management
• Data mining techniques and applications

Interested authors are solicited to make their original contributions in the above areas and contact one of the guest editors at: Yang.Editor@gmail.com or suashdeb@gmail.com or paif@ncnu.edu.tw

For details about Int. J. of Artificial Intelligence (IJAI), please visit online
http://www.ceser.res.in/ceserp/index.php/ijai/about

The important dates:

15 April 2011: Expression of interest (Title and abstract to guest editors)
15 June 2011: Full manuscript and cover letter
15 July 2011: Review comments and decision
15 Aug. 2011: Revised, final manuscript

Guest Editors:

Dr Xin-She Yang
Mathematics and Scientific Computing
National Physical Laboratory, Teddington TW11 0LW, UK
(email: yang.editor @ gmail.com)

Prof. Suash Deb
Department of Computer Science & Engineering
C. V. Raman College of Engineering
Bhubaneswar 752054, INDIA
(email: suashdeb (at) gmail.com)

Prof. Ping-Feng Pai
Department of Information Management
National Chi Nan University
470, University Rd. Puli, Nantou, 545, Taiwan
(email: paif (at) ncnu.edu.tw)