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https://open.uns.ac.rs/handle/123456789/32694
Pоljе DC-а | Vrеdnоst | Јеzik |
---|---|---|
dc.contributor.author | Lalić, Maksim | en_US |
dc.contributor.author | Obrenović, Nikola | en_US |
dc.contributor.author | Atac, S. | en_US |
dc.contributor.author | Bortolomiol, S. | en_US |
dc.contributor.author | Marko, Oskar | en_US |
dc.contributor.author | Brdar, Sanja | en_US |
dc.contributor.author | Crnojević, Vladimir | en_US |
dc.contributor.author | Luković, Ivan | en_US |
dc.date.accessioned | 2024-04-23T07:40:05Z | - |
dc.date.available | 2024-04-23T07:40:05Z | - |
dc.date.issued | 2023-11 | - |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/32694 | - |
dc.description.abstract | Accurate and optimized harvest schedules should improve the subsequent harvest performance. In this work, we formulate a bi-objective optimization model used to improve harvest effectiveness, measured by the amount of unnecessarily produced waste, and its efficiency, measured by the time required for harvest completion. The proposed model considers a farm field divided into management units that are treated and harvested independently and assume storage and processing limits that dictate the pace of the optimal harvest. The optimization problem is solved using 2 distinctive metaheuristic techniques. We examined adaptive large neighborhood search (ALNS) as a model-driven single-solution-based metaheuristic and non-dominated sorting genetic algorithm II (NSGA-II) as a data-driven population-based approach. Optimization techniques were tested on 20 synthesized test cases. All obtained results emphasize the significant and consistent dominance of the ALNS over the NSGA-II. | en_US |
dc.title | Multi-Objective Metaheuristic Solution Approach for the Crop Plant Scheduling Problem | en_US |
dc.type | Conference Paper | en_US |
dc.relation.conference | Proceedings of META'2023, 9th International Conference on Metaheuristics and Nature Inspired Computing, Marrakech, Morocco, November 01-04 | en_US |
dc.description.version | Unknown | en_US |
dc.relation.lastpage | 200 | en_US |
dc.relation.firstpage | 198 | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
crisitem.author.dept | Institut BioSense | - |
crisitem.author.dept | Institut BioSense | - |
crisitem.author.dept | Institut BioSense | - |
crisitem.author.orcid | 0000-0001-6683-7178 | - |
crisitem.author.orcid | 0000-0002-2259-4693 | - |
crisitem.author.orcid | 0000-0001-7144-378X | - |
crisitem.author.parentorg | Univerzitet u Novom Sadu | - |
crisitem.author.parentorg | Univerzitet u Novom Sadu | - |
crisitem.author.parentorg | Univerzitet u Novom Sadu | - |
Nаlаzi sе u kоlеkciјаmа: | IBS Publikacije/Publications |
Dаtоtеkе u оvој stаvci:
Dаtоtеkа | Vеličinа | Fоrmаt | |
---|---|---|---|
M33-2023-Multi-Objective Metaheuristic Solution Approach for the.pdf | 226.44 kB | Adobe PDF | Pоglеdајtе |
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prоvеrеnо 03.05.2024.
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prоvеrеnо 03.05.2024.
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