| Naslov: | Constrained multi-objective optimization of simulated tree pruning with heterogeneous criteria |
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| Avtorji: | ID Strnad, Damjan (Avtor)
ID Kohek, Štefan (Avtor) |
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| Datoteke: |  applsci-11-10781.pdf (5,75 MB)
MD5: 8E7C94409C3B9E0A8FE7B3DCAAAD4F63
 https://www.mdpi.com/2076-3417/11/22/10781
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| Jezik: | Angleški jezik |
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| Vrsta gradiva: | Članek v reviji |
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| Tipologija: | 1.01 - Izvirni znanstveni članek |
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| Organizacija: | FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
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| Opis: | Virtual pruning of simulated fruit tree models is a useful functionality provided by software tools for computer-aided horticultural education and research. It also enables algorithmic
pruning optimization with respect to a set of quantitative objectives, which is important for analytical
purposes and potential applications in automated pruning. However, the existing studies in pruning
optimization focus on a single type of objective, such as light distribution within the crown. In this
paper, we propose the use of heterogeneous objectives for discrete multi-objective optimization of
simulated tree pruning. In particular, the average light intake, crown shape, and tree balance are
used to observe the emergence of different pruning patterns in the non-dominated solution sets. We
also propose the use of independent constraint objectives as a new mechanism to confine overfitting
of solutions to individual pruning criteria. Finally, we perform the comparison of NSGA-II, SPEA2,
and MOEA/D-EAM on this task. The results demonstrate that SPEA2 and MOEA/D-EAM, which
use external solution archives, can produce better sets of non-dominated solutions than NSGA-II. |
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| Ključne besede: | multi-objective optimization, virtual tree pruning, heterogeneous objectives, constraint objectives, NSGA-II, SPEA2, EuMOEA/D-EAM |
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| Status publikacije: | Objavljeno |
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| Verzija publikacije: | Objavljena publikacija |
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| Poslano v recenzijo: | 25.09.2021 |
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| Datum sprejetja članka: | 10.11.2021 |
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| Datum objave: | 15.11.2021 |
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| Založnik: | MDPI |
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| Leto izida: | 2021 |
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| Št. strani: | 18 str. |
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| Številčenje: | Vol. 11, iss. 22 |
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| PID: | 20.500.12556/DKUM-93322  |
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| UDK: | 004.5 |
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| COBISS.SI-ID: | 86459907 |
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| DOI: | 10.3390/app112210781 |
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| ISSN pri članku: | 2076-3417 |
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| Avtorske pravice: | © 2021 by the authors |
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| Datum objave v DKUM: | 19.06.2025 |
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| Število ogledov: | 175 |
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| Število prenosov: | 12 |
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| Metapodatki: |    |
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| Področja: | Ostalo
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