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Original scientific paper
https://doi.org/10.2498/cit.2002.03.07

Exploring the Performance of an Evolutionary Algorithm for Greenhouse Control

Rasmus K. Ursem
Bogdan Filipič
Thiemo Krink

Fulltext: english, pdf (284 KB) pages 195-201 downloads: 410* cite
APA 6th Edition
Ursem, R.K., Filipič, B. & Krink, T. (2002). Exploring the Performance of an Evolutionary Algorithm for Greenhouse Control. Journal of computing and information technology, 10 (3), 195-201. https://doi.org/10.2498/cit.2002.03.07
MLA 8th Edition
Ursem, Rasmus K., et al. "Exploring the Performance of an Evolutionary Algorithm for Greenhouse Control." Journal of computing and information technology, vol. 10, no. 3, 2002, pp. 195-201. https://doi.org/10.2498/cit.2002.03.07. Accessed 8 Apr. 2020.
Chicago 17th Edition
Ursem, Rasmus K., Bogdan Filipič and Thiemo Krink. "Exploring the Performance of an Evolutionary Algorithm for Greenhouse Control." Journal of computing and information technology 10, no. 3 (2002): 195-201. https://doi.org/10.2498/cit.2002.03.07
Harvard
Ursem, R.K., Filipič, B., and Krink, T. (2002). 'Exploring the Performance of an Evolutionary Algorithm for Greenhouse Control', Journal of computing and information technology, 10(3), pp. 195-201. https://doi.org/10.2498/cit.2002.03.07
Vancouver
Ursem RK, Filipič B, Krink T. Exploring the Performance of an Evolutionary Algorithm for Greenhouse Control. Journal of computing and information technology [Internet]. 2002 [cited 2020 April 08];10(3):195-201. https://doi.org/10.2498/cit.2002.03.07
IEEE
R.K. Ursem, B. Filipič and T. Krink, "Exploring the Performance of an Evolutionary Algorithm for Greenhouse Control", Journal of computing and information technology, vol.10, no. 3, pp. 195-201, 2002. [Online]. https://doi.org/10.2498/cit.2002.03.07

Abstracts
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.

Hrčak ID: 44779

URI
https://hrcak.srce.hr/44779

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