Comparison of Different Optimization Based Land Reallocation Models
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Date
2020
Authors
Uyan, Mevlüt
Tongur, Vahit
Ertunç, Ela
Journal Title
Journal ISSN
Volume Title
Publisher
ELSEVIER SCI LTD
Open Access Color
Green Open Access
No
OpenAIRE Downloads
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Publicly Funded
No
Abstract
Land reallocation, which is an optimization problem in the field of engineering, is the process of reallocating parcels to pre-determined blocks according to the preferences of landowners. In practice, this is done manually and takes weeks or even months. The elongation of this process affects both the cost of the project and the project's acceptability by the landowners and thus the success of the project. Because the success of land consolidation projects is determined by the satisfaction of the landowners. For these reasons, the optimization-based land reallocation studies have been extensively carried out recently. However, these methods in the literature are not used in practice and the reallocation is still done manually. Therefore, for the first time in this study, two new reallocation models were developed to solve this problem by using Migration Birds and Simulated Annealing Algorithms and the results of these methods in a real project area were compared. Additionally, the results were compared to the conventional reallocation method (manual reallocation) to evaluate the performance of the methods developed. Both proposed methods provided a successful and practicable reallocation plan in a very short time with respect to the conventional one.
Description
ORCID
Keywords
Land Consolidation, Land Reallocation, Migrating Birds Optimization, Simulated Annealing Algorithm, Optimization, Simulated Annealing Algorithm, Migrating Birds Optimization, Consolidation
Turkish CoHE Thesis Center URL
Fields of Science
0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
21
Source
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume
173
Issue
Start Page
105449
End Page
PlumX Metrics
Citations
CrossRef : 21
Scopus : 18
Captures
Mendeley Readers : 17
SCOPUS™ Citations
18
checked on Feb 03, 2026
Web of Science™ Citations
20
checked on Feb 03, 2026
Google Scholar™

OpenAlex FWCI
2.80221975
Sustainable Development Goals
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE


