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Volume 10, Number 3 (September, 2002), Pages 195-201

doi:10.2498/cit.2002.03.07

Exploring the Performance of an Evolutionary Algorithm for Greenhouse Control

Rasmus K. Ursem
EVALife Research Group, Dept. of Computer Science, University of Aarhus, Aarhus C, Denmark
Bogdan Filipič
Dept. of Intelligent Systems, “Jožef Stefan” Institute, Ljubljana, Slovenia
Thiemo Krink
EVALife Research Group, Dept. of Computer Science, University of Aarhus, Aarhus C, Denmark

Abstract
Evolutionary algorithms for optimization of dynamic problems have recently received increasing attention. Online control is a particularly interesting class of dynamic problems, because of the interactions between the controller and the controlled system. In this paper, we report experimental results on two aspects of the direct control strategy in relation to a crop-producing greenhouse. In the first set of experiments, we investigated how to balance the available computation time between population size and generations. The second experiments were on different control horizons, and showed the importance of this aspect for direct control. Finally, we discuss the results in the wider context of dynamic optimization.

Keywords
evolutionary algorithms, direct control, dynamic systems, crop-producing greenhouse

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