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Focus and Scope
The main aim of the International Journal of Artificial Intelligence (ISSN 0974-0635) is to publish refereed, well-written original research articles, and studies that describe the latest research and developments in the area of Artificial Intelligence. This is a broad-based journal covering all branches of Artificial Intelligence and its application in the following topics: Technology & Computing; Fuzzy Logic; Neural Networks; Reasoning and Evolution; Automatic Control; Mechatronics; Robotics; Parallel Processing; Programming Languages; Software & Hardware Architectures; CAD Design & Testing; Web Intelligence Applications; Computer Vision and Speech Understanding; Multimedia & Cognitive Informatics, Data Mining and Machine Learning Tools, Heuristic and AI Planning Strategies and Tools, Computational Theories of Learning; Signal, Image & Speech Processing; Intelligent System Architectures; Knowledge Representation; Bioinformatics; Natural Language Processing; Mathematics & Physics. The International Journal of Artificial Intelligence (IJAI) is a peer-reviewed online journal and is published in Spring and Autumn i.e. two times in a year.
Section Policies
Articles
Peer Review Process
The practice of peer review is to ensure that high quality scientific material is published, therefore the peer review is one of the most objective processes of the International Journal of Artificial Intelligence (IJAI). Our referees play a vital role in maintaining the high standards of IJAI.
The Editors-in-Chief first evaluate all manuscripts. Although it is an extremely rare occurrence, the Editors-in-Chief may accept an exceptional manuscript at this first stage. The Editors-in-Chief may also reject a manuscript at this stage because it is insufficiently original, it has serious scientific flaws, it is ungrammatical, it is written in poor English, or it falls outside the aims and scope of the journal. Those that meet the minimum criteria are passed on to an Editor or to an Associate Editor to manage the review process. The manuscripts are reviewed by minimum two reviewers who are experts in the area of Artificial Intelligence.
CALL FOR PAPERS
CALL FOR PAPERS
The International Journal of Artificial Intelligence (ISSN 0974-0635) welcomes submissions of manuscripts. The main aim of the IJAI is to publish refereed, well-written original research articles, and studies that describe the latest research and developments in the area of Artificial Intelligence. This is a broad-based journal covering all branches of Artificial Intelligence and it's application in the following topics: Technology & Computing; Fuzzy Logic; Neural Networks; Reasoning and Evolution; Automatic Control; Mechatronics; Robotics; Parallel Processing; Programming Languages; Software & Hardware Architectures; CAD Design & Testing; Web Intelligence Applications; Computer Vision and Speech Understanding; Multimedia & Cognitive Informatics, Data Mining and Machine Learning Tools, Heuristic and AI Planning Strategies and Tools, Computational Theories of Learning; Signal, Image & Speech Processing; Intelligent System Architectures; Knowledge Representation; Bioinformatics; Natural Language Processing; Mathematics & Physics. The International Journal of Artificial Intelligence (IJAI) is a peer-reviewed online journal and is published in Spring and Autumn i.e. two times in a year.
There are no page charges to individuals or institutions for contributions.
The International Journal of Artificial Intelligence (ISSN 0974-0635) is reviewed, abstracted and indexed by the INSPEC, SCOPUS (Elsevier Bibliographic Databases), Zentralblatt MATH (io-port.net) of European Mathematical Society, Indian Science Abstracts, getCITED, Newjour, JournalSeek, Math-jobs.coms Journal Index and International Statistical Institute (ISI, Netherlands) Journal Index. The IJAI is already in request process to get reviewed, abstracted and indexed by the Thomson ISI Web of Knowledge SCI, Mathematical Reviews and MathSciNet of American Mathematical Society, and by other agencies.
Call for Papers: Special issue on Metaheuristics in Artificial Intelligence
Special issue of 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.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@gmail.com)
Prof. Ping-Feng Pai
Department of Information Management
National Chi Nan University
470, University Rd. Puli, Nantou, 545, Taiwan
(email: paif@ncnu.edu.tw)
ISSN: 0974-0635