Special Session on

 

Foundations of Hybrid Computational Intelligence

 

 in conjunction with the

 

The First IEEE Symposium on Foundations of Computational Intelligence (FOCI'07)

1-5 April 2007, Honolulu, Hawaii, USA

 

 

Hybridization of intelligent approaches is a promising research field of modern computational intelligence concerned with the development of the next generation of intelligent systems. A fundamental stimulus to the investigations of Hybrid Computational Intelligence (HCI) is the awareness in the academic communities that combined and integrated approaches will be necessary if the remaining tough problems in computational intelligence are to be solved. Most of the hybrid approaches, however, follow an ad hoc design methodology, further justified by success in certain application domains. Due to the lack of a common framework it remains often difficult to compare the various hybrid systems conceptually and evaluate their performance comparatively. It has been nearly two decades since HCI were first applied to solve complicated problems.

 

This special session is focused on theoretical aspects of the development of HCI and invites authors to submit their original and unpublished work that communicates current research as well as various applications of HCI approaches to many real world problems from science, technology, business or commerce.

 

Topics of interest include but not limited to: 

- Representation of Algorithms for Hybrid Systems
-Integrations of Neural Networks with Expert Systems

-Integrations of Neural Networks with Fuzzy Systems

-Integrations of Neural Networks with Global Optimization Algorithms

-Integration of Fuzzy Systems with Global Optimization Algorithms 

-Hybrid Optimization Techniques (global, local search techniques etc.)

- Hybridization with Swarm Intelligence

-Hybrid Systems using Neural Networks - Evolutionary Algorithms – Fuzzy Systems

-Hybrid Multi-Agent Systems

-Integration with Information Systems for Data Mining, Knowledge Management, Decision Support

-Hybridization of Soft Computing with other Machine Learning Techniques: Support Vector Machines, Rough Sets, Bayesian -Networks, Probabilistic Reasoning, Statistical Learning

-Hybrid models using Case-Based Reasoning, Inductive Logic Programming, Grammatical Inference 

 - Performance Assessment of Hybrid Systems

 

Special issue opportunities:

 

We are planning to organize two special issues if we manage to get a fair volume of good quality papers.

·       The International Journal of Hybrid Intelligent Systems (IJHIS), IOS Press, The Netherlands

·       Softcomputing Journal, Springer Verlag, Germany

 

Important Dates

 

31 October 2006 --- Deadline for submission of full papers (<=6 pages)

30 November 2006 --- Notification of acceptance

15 January 2007 --- Deadline for camera-ready copies of accepted papers

1-5 April 2007 --- Symposium sessions

  

Paper submission

Prospective authors are invited to submit papers of no more than six (6) pages including results, figures and references. Authors should submit their papers as PDF through the online submission system, which is available at the website http://ieee-cis.org/conferences/foci2007/upload.php. The title page of the paper should include author name (s), affiliation, mailing address, telephone, fax, and e-mail address. Prospective authors are expected to present their paper at the symposium.

 

Workshop Chairs

 

Sung-Bae Cho,

School of Computer Science and Engineering,
Yonsei University,
134 Shinchon-dong, Sudaemoon-ku,
Seoul 120-749, Republic of Korea
Email:
sbcho@yonsei.ac.kr

 

Ajith Abraham

School of Computer Science and Engineering,
Yonsei University,
134 Shinchon-dong, Sudaemoon-ku,
Seoul 120-749, Republic of Korea
Email: ajith.abraham@ieee.org

 

International Program Committee Members (more to be updated)

 

Witold Pedrycz , University of Alberta, Canada

Mario Koeppen, Kyushu Institute of Technology, Japan
Oscar Castillo, Tijuana Institute of Technology, Mexico
Maria do Carmo Nicoletti, Universidade Federal de S. Carlos, Brazil
Ashraf Saad, Armstrong Atlantic State University, USA
Jerzy W. Grzymala-Busse, University of Kansas, USA
Andreas Koenig, Technische Universitaet Kaiserslautern, Germany
Vasile Palade, University of Oxford, UK
Christian Igel,Institut für Neuroinformatik, Ruhr-Universität Bochum, Germany
Bernard Grabot , ENIT, France
Yaochu Jin, Honda Research Institute Europe, Germany
Saman Halgamuge, University of Melbourne, Australia
Brijesh Verma, Central Queensland University, Australia
Francisco Herrera, University of Granada, Spain
Giovanni Semeraro, Universita' degli Studi di Bari, Italy
Frank Klawonn, University of Applied Sciences Braunschweig/Wolfenbuettel, Germany
Yanqing Zhang, Georgia State University, USA
Richard Weber, University of Chile, Chile
Eiji Uchino, Yamaguchi University, Japan
Hisao Ishibuchi, Osaka Prefecture University, Japan
Reza Lengari, Texas A & M University, USA


 

 

 

 

 

 

 


 

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