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Track 2: Intelligent Control Systems and Optimization

 

Track 2: Intelligent Control Systems and Optimization

 

Submissions to the research track should describe original, significant research, and are expected to provide some principled means of evaluation. Specifically, all papers should include evaluations of the approaches described in the paper.


Genetic Algorithms
Fuzzy Control
Decision Support Systems
Machine Learning in Control Applications
Knowledge-based Systems Applications
Hybrid Learning Systems
Distributed Control Systems
Evolutionary Computation and Control
Optimization Algorithms
Soft Computing
Software Agents for Intelligent Control Systems
Neural Networks based Control Systems
Planning and Scheduling
Intelligent Fault Detection and Diagnosis
Engineering Applications