2026-05-31T18:47:15Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/117052026-02-03T10:28:10Zcom_10630_1685col_10630_38056

00925njm 22002777a 4500 dc Hermelink, Marleen author 2016-06-28 The horticultural sector has become an increasingly important sector of food production, for which greenhouse climate control plays a vital role in improving its sustainability. One of the methods to control the greenhouse climate is Model Predictive Control, which can be optimized 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. A comparison 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. http://hdl.handle.net/10630/11705 Cultivo en invernadero Horticultura Branch and Bound algorithms in greenhouse climate control