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An improved non-dominated sorting biogeography-based optimization algorithm for multi-objective land-use allocation: a case study in Kigali-Rwanda

التفاصيل البيبلوغرافية
العنوان: An improved non-dominated sorting biogeography-based optimization algorithm for multi-objective land-use allocation: a case study in Kigali-Rwanda
المؤلفون: Olive Niyomubyeyi, Mozafar Veysipanah, Sam Sarwat, Petter Pilesjö, Ali Mansourian
المصدر: Geo-spatial Information Science, Pp 1-15 (2022)
بيانات النشر: Taylor & Francis Group, 2022.
سنة النشر: 2022
المجموعة: LCC:Mathematical geography. Cartography
LCC:Geodesy
مصطلحات موضوعية: Multi-objective land-use allocation, spatial optimization, sustainable urban planning, Non-dominated Sorting Biogeography-Based Optimization (NSBBO) algorithm, Mathematical geography. Cartography, GA1-1776, Geodesy, QB275-343
الوصف: With the continuous increase of rapid urbanization and population growth, sustainable urban land-use planning is becoming a more complex and challenging task for urban planners and decision-makers. Multi-objective land-use allocation can be regarded as a complex spatial optimization problem that aims to achieve the possible trade-offs among multiple and conflicting objectives. This paper proposes an improved Non-dominated Sorting Biogeography-Based Optimization (NSBBO) algorithm for solving the multi-objective land-use allocation problem, in which maximum accessibility, maximum compactness, and maximum spatial integration were formulated as spatial objectives; and space syntax analysis was used to analyze the potential movement patterns in the new urban planning area of the city of Kigali, Rwanda. Efficient Non-dominated Sorting (ENS) algorithm and crossover operator were integrated into classical NSBBO to improve the quality of non-dominated solutions, and local search ability, and to accelerate the convergence speed of the algorithm. The results showed that the proposed NSBBO exhibited good optimal solutions with a high hypervolume index compared to the classical NSBBO. Furthermore, the proposed algorithm could generate optimal land use scenarios according to the preferred objectives, thus having the potential to support the decision-making of urban planners and stockholders in revising and updating the existing detailed master plan of land use.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 10095020
1993-5153
1009-5020
Relation: https://doaj.org/toc/1009-5020; https://doaj.org/toc/1993-5153
DOI: 10.1080/10095020.2022.2127380
URL الوصول: https://doaj.org/article/a684400413f1435088b66b929c026a64
رقم الأكسشن: edsdoj.684400413f1435088b66b929c026a64
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10095020
19935153
DOI:10.1080/10095020.2022.2127380