Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/32694
Title: | Multi-Objective Metaheuristic Solution Approach for the Crop Plant Scheduling Problem | Authors: | Lalić, Maksim Obrenović, Nikola Atac, S. Bortolomiol, S. Marko, Oskar Brdar, Sanja Crnojević, Vladimir Luković, Ivan |
Issue Date: | Nov-2023 | Conference: | Proceedings of META'2023, 9th International Conference on Metaheuristics and Nature Inspired Computing, Marrakech, Morocco, November 01-04 | 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. | URI: | https://open.uns.ac.rs/handle/123456789/32694 |
Appears in Collections: | IBS Publikacije/Publications |
Files in This Item:
File | Size | Format | |
---|---|---|---|
M33-2023-Multi-Objective Metaheuristic Solution Approach for the.pdf | 226.44 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.