Integrating Minimum Spanning Tree and MILP in Urban Planning: A Novel Algorithmic Perspective

This paper presents a novel eight-step iterative algorithm for optimizing the layout of a neighborhood, focusing on the efficient allocation of houses to strategically placed facilities, herein referred to as ’points of interest’. The methodology integrates a mixed integer linear programming (MILP)...

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Veröffentlicht in:	Buildings (Basel) Jg. 14; H. 1; S. 213
Hauptverfasser:	Pavon, Wilson, Torres, Myriam, Inga, Esteban
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.01.2024
Schlagworte:	Algorithms Analysis Development projects Dwellings facility location problem Geographic Information Systems (GIS) Geographical coordinates Graph theory Greedy algorithms Heuristic heuristic algorithms Heuristic methods Houses Housing Industrial locations Infrastructure Integer programming Iterative algorithms Iterative methods Layouts Linear programming Minimum Spanning Tree (MST) Mixed integer Mixed Integer Linear Programming (MILP) Neighborhoods Network design Operations research Optimization techniques Residential areas Site selection Urban planning urban planning optimization
ISSN:	2075-5309, 2075-5309
Online-Zugang:	Volltext
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