RT Generic
T1 Branch and Bound algorithms in greenhouse climate control
A1 Hermelink, Marleen
K1 Cultivo en invernadero
K1 Horticultura
AB The horticultural sector has become an increasingly important sector of food production, for which greenhouse climate control plays avital role in improving its sustainability. One of the methods to control the greenhouse climate is Model Predictive Control, which can beoptimized through a branch and bound algorithm. The application of the algorithm in literature is examined and analyzed through small examples, and later extended to greenhouse climate simulation. Acomparison is made of various alternative objective functions available in literature. Subsequently, a modidified version of the B&B algorithm is presented, which reduces the number of node evaluations required for optimization. Finally, three alternative algorithms are developed and compared to consider the optimization problem from a discrete to a continuous control space.
YR 2016
FD 2016-06-28
LK http://hdl.handle.net/10630/11705
UL http://hdl.handle.net/10630/11705
LA eng
NO Grant TIN2015-66680-c2-2-R from the Spanish statein part financed by the European Regional Development Fund (ERDF)
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026