20.500.12556/DKUM-81216 A framework for multi-objective optimization of virtual tree pruning based on growth simulation We present a framework for multi-objective optimization of fruit tree pruning within a simulated environment, where pruning is performed on a virtual tree model, and its effects on tree growth are observed. The proposed framework uses quantitative measures to express the short-term and long-term effects of pruning, for which potentially conflicting optimization objectives can be defined. The short-term objectives are evaluated on the pruned tree model directly, while the values of long-term objectives are estimated by executing a tree growth simulation. We demonstrate the concept by using a bi-objective case, where the estimated light interceptions of the pruned tree in the current and the next season are used to define separate optimization objectives. We compare the performance of the multi-objective simulated annealing and the NSGA-II method in building the sets of non-dominated pruning solutions. The obtained Pareto front approximations correspond to diverse pruning solutions that balance between optimizing either objective to different extents, which indicates a potential for new applications of the multi-objective pruning optimization concept. virtual tree pruning multi-objective oiptimization growth simulation simulated annealing NSGA-II obrezovanje navideznih dreves večciljna optimizacija simulacija rasti true false true Elsevier (Pergamon) Angleški jezik Slovenski jezik https://www.sciencedirect.com/journal/expert-systems-with-applications © 2020 The Authors Članek v reviji 2022-02-01 03:09:05 2023-07-10 13:17:21 2025-05-26 07:45:43 0000-00-00 00:00:00 2020 0 0 str. 1-10 Vol. 162 Dec. 2020 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2020-01-13 2020-07-23 2020-07-28 004.8 27215363 10.1016/j.eswa.2020.113792 0957-4174 RAZ_Strnad_Damjan_2020.pdf RAZ_Strnad_Damjan_2020.pdf 1 C82326FD87696D44A05256EE8915AD4B 9d7a4510468414ad23e7f2b57a6c4b50bbf186c703e08af2ce13a65367cf10a6 28504487-1f0d-11ee-b08f-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=168643 https://www.sciencedirect.com/science/article/pii/S0957417420306138 0 83fb11ca-1f0d-11ee-b08f-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=168644 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0