Comparison of traditional method and genetic algorithm optimization in the land reallocation stage of land consolidation

İnceyol, Yaşar; Çay, Tayfun

doi:10.1016/j.landusepol.2022.105989

Cited by 14 publications

(5 citation statements)

References 23 publications

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“…Furthermore, the previous studies analysing block occupancy rates are lacking. Nevertheless, the limited studies (Ertunç et al, 2021;Haber et al, 2022;Haklı et al, 2018;_ Inceyol, 2014) in the literature are compared with the present study in Table 9. The land reallocation process has been investigated either in terms of farmers' preference or…”

Section: Resultsmentioning

confidence: 99%

“…This project was run according to the LC legislation in Turkey. In Turkey, land valuation in LC projects is determined according to the parcel index value (Ertunç, 2022) and land reallocation is performed according to farmer preferences determined in interviews with LO (Çay & Ertunç, 2019; Inceyol & Cay, 2022). More details about LC legislation in Turkey can be found in Ertunç's study (Ertunç, 2022).…”

Section: Methodsmentioning

confidence: 99%

“…These databases contain information about the parcels regarding their geometric properties (borders/surface area), owners, and types of use. The difference between the proposed study and its counterparts in the literature is the consideration of many distribution criteria such as fixed facility, parcel sharing, parcel and share-based preferences, and soil classification (Haklı et al, 2018;_ Inceyol, 2014). We used fitness and neighbourhood change functions with the ABC algorithm in the block-reallocation study, and the algorithm's SS was determined by taking farmer preferences into account.…”

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confidence: 99%

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A novel preference‐based artificial‐bee‐colony algorithm approach to the land reallocation optimization problem in a land consolidation case study: DOT village in Turkey

Özbeyaz

İnceyol

2023

Expert Systems

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Land consolidation (LC) is a widely used spatial land management tool. The most essential stage of the LC process is land reallocation, which comprises the exchange of property rights. For this reason, land reallocation may be a potential source of dissatisfaction among farmers, and thus, optimization techniques are continually being developed to minimize these dissatisfactions. The goal of this study was to develop a novel preference‐based artificial‐bee‐colony (ABC) algorithm for use in the land reallocation project for DOT village. In the study, the farmer preferences were prioritized. Specifically, 70% of the lands were preference‐based, with the remainder being random. Furthermore, the ABC algorithm's performance was assessed using three limit parameter (LP) values and two probability functions. The best success was attained when the LP was set to 50 and the roulette‐wheel probability function was employed. The success of land reallocation was defined by the occupancy rate in the blocks and the reallocation rates based on the preferences of the farmer's lands. The occupancy rate in all the blocks using the ABC algorithm was 95.54%, the full occupancy rate of blocks according to farmer preferences was 38%, and the land reallocation rate based on the farmers' preferences was 73%. The remaining lands were distributed to the block areas at random using the ABC method. Moreover, the success of the preference‐based population surpassed that of randomly formed populations.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

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A novel preference‐based artificial‐bee‐colony algorithm approach to the land reallocation optimization problem in a land consolidation case study: DOT village in Turkey

Özbeyaz

İnceyol

2023

Expert Systems

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“…The core of CLR lies in the transfer of land development rights, which affects the degree of SJ realization of NRRCL [15]. Land is the most critical factor in the restriction and development of the local economy; determining the use and redistribution of land is the most complex, technical, and important stage of land consolidation [85]. SI affects the economic development of NRRCL via two aspects.…”

Section: Discussionmentioning

confidence: 99%

Land Development Rights, Spatial Injustice, and the Economic Development in Net-Incremental Reduction Regions of Construction Land: Evidence from Shanghai, China

Wang

Liu

2023

IJERPH

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Rapid urbanization raises the issue of protecting development interests in net-incremental reduction regions of construction land (NRRCL). Spatial injustice (SI) is one of the key factors for the smooth implementation of construction land reduction (CLR) policies. This study theoretically analyzes the influence of SI on the economic development in CLR saving quota outflow regions, namely, NRRCL, and conducted empirical tests with the difference-in-differences model. The findings reveal that: (1) regional differences in CLR policy promote the transfer of land development rights from NRRCL to net-incremental increase regions of construction land (NIRCL) in economically developed regions, thus resulting in SI; (2) SI limits the economic development of NRRCL; (3) land-use planning negatively impacts economic development in planning reduced-type regions; (4) the off-site realization of spatial justice in the CLR process in suburbs has comparative advantages; (5) in the process of CLR, it is vital to promote the transfer of population from NRRCL to NIRCL to alleviate the negative impact of SI.

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“…As technology advances and problems become more complex, optimization tasks frequently exhibit multi-objective, large-scale, uncertain, and complicated traits to parse (Wan et al 2023). In the real world, many problems have multiple optimization objectives and constraints, while traditional optimization algorithms (Inceyol and Cay 2022;Wang et al 2022) are mainly designed for a single objective or a small number of objective issues (Atban et al 2023;Hu et al 2023;Wang et al 2023a, b). Traditional algorithms may not be able to accurately find the optimal solution when faced with these challenging optimization tasks, or the solving procedure may be overly complicated and time-consuming.…”

Section: Introductionmentioning

confidence: 99%

Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems

Wang,

et al. 2024

Artif Intell Rev

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This paper innovatively proposes the Black Kite Algorithm (BKA), a meta-heuristic optimization algorithm inspired by the migratory and predatory behavior of the black kite. The BKA integrates the Cauchy mutation strategy and the Leader strategy to enhance the global search capability and the convergence speed of the algorithm. This novel combination achieves a good balance between exploring global solutions and utilizing local information. Against the standard test function sets of CEC-2022 and CEC-2017, as well as other complex functions, BKA attained the best performance in 66.7, 72.4 and 77.8% of the cases, respectively. The effectiveness of the algorithm is validated through detailed convergence analysis and statistical comparisons. Moreover, its application in solving five practical engineering design problems demonstrates its practical potential in addressing constrained challenges in the real world and indicates that it has significant competitive strength in comparison with existing optimization techniques. In summary, the BKA has proven its practical value and advantages in solving a variety of complex optimization problems due to its excellent performance. The source code of BKA is publicly available at https://www.mathworks.com/matlabcentral/fileexchange/161401-black-winged-kite-algorithm-bka.

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Comparison of traditional method and genetic algorithm optimization in the land reallocation stage of land consolidation

Cited by 14 publications

References 23 publications

A novel preference‐based artificial‐bee‐colony algorithm approach to the land reallocation optimization problem in a land consolidation case study: DOT village in Turkey

A novel preference‐based artificial‐bee‐colony algorithm approach to the land reallocation optimization problem in a land consolidation case study: DOT village in Turkey

Land Development Rights, Spatial Injustice, and the Economic Development in Net-Incremental Reduction Regions of Construction Land: Evidence from Shanghai, China

Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems

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