| Title: | Constrained multi-objective optimization of simulated tree pruning with heterogeneous criteria |
|---|
| Authors: | ID Strnad, Damjan (Author)
ID Kohek, Štefan (Author) |
|---|
| Files: |  applsci-11-10781.pdf (5,75 MB)
MD5: 8E7C94409C3B9E0A8FE7B3DCAAAD4F63
 https://www.mdpi.com/2076-3417/11/22/10781
|
|---|
| Language: | English |
|---|
| Work type: | Article |
|---|
| Typology: | 1.01 - Original Scientific Article |
|---|
| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
|
|---|
| Abstract: | 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. |
|---|
| Keywords: | multi-objective optimization, virtual tree pruning, heterogeneous objectives, constraint objectives, NSGA-II, SPEA2, EuMOEA/D-EAM |
|---|
| Publication status: | Published |
|---|
| Publication version: | Version of Record |
|---|
| Submitted for review: | 25.09.2021 |
|---|
| Article acceptance date: | 10.11.2021 |
|---|
| Publication date: | 15.11.2021 |
|---|
| Publisher: | MDPI |
|---|
| Year of publishing: | 2021 |
|---|
| Number of pages: | 18 str. |
|---|
| Numbering: | Vol. 11, iss. 22 |
|---|
| PID: | 20.500.12556/DKUM-93322  |
|---|
| UDC: | 004.5 |
|---|
| ISSN on article: | 2076-3417 |
|---|
| COBISS.SI-ID: | 86459907 |
|---|
| DOI: | 10.3390/app112210781 |
|---|
| Copyright: | © 2021 by the authors |
|---|
| Publication date in DKUM: | 19.06.2025 |
|---|
| Views: | 176 |
|---|
| Downloads: | 12 |
|---|
| Metadata: |    |
|---|
| Categories: | Misc.
|
|---|
|
:
|
Copy citation |
|---|
| | | | Average score: | (0 votes) |
|---|
| Your score: | Voting is allowed only for logged in users. |
|---|
| Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
