Real-world problems are generally complex in nature. To analyse them, a hard computing tool alone or just a constituent member of soft computing family (e.g. fuzzy logic, neural networks, genetic algorithms, and others) may not be sufficient. It may be necessary to solve a part of the problem using one tool of the soft computing family and the remaining part can be tackled utilising another member of the same family. Thus, combined techniques such as genetic-fuzzy, genetic-neural, neuro-fuzzy systems have been developed. Similarly, situations may also demand the use of both hard computing and soft computing tools together. This special issue focuses on the principles of hybrid computing and its applications.
Suitable topics include but are not limited to:
Principles of hybrid computing
- combinations of various soft computing tools, such as
* genetic-fuzzy systems
* genetic-neural systems
* neuro-fuzzy systems
* genetic-neuro-fuzzy systems etc.,
Applications in various areas, such as* genetic-neural systems
* neuro-fuzzy systems
* genetic-neuro-fuzzy systems etc.,
- combinations of soft and hard computing techniques
- robotics
- manufacturing sciences
- thermal systems
- data mining
- image processing,
- engineering systems, etc
Submission of one-page Abstract: 30 September 2009
Acceptance Notification of the Abstract: 15 October 2009
Submission of Full Paper: 31 December 2009
Acceptance Notification of the Full Paper: 31 May 2010
Submission of Final Paper (source files): 30 June 201
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