Multi-agent control system for a municipal water system

Authors:
Radhika Kotina;Francisco P. Maturana;Dan Carnahan
Affiliations:
Department of Electrical and Computer Engineering, Cleveland State University, Cleveland, OH;Advanced Technology, Rockwell Automation, Mayfield Heights, OH;Advanced Technology, Rockwell Automation, Mayfield Heights, OH
Venue:
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Year:
2006

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Abstract

Evolutionary optimization algorithms contain, due to their heuristic inspiration, many heuristic parameters, which need to be empirically tuned for the algorithm to work most properly. This paper deals with tuning those parameters in situations when ...