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

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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Bibliographic Details
Main Authors: Wilson Pavon, Myriam Torres, Esteban Inga
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Buildings
Subjects:
urban planning optimization
facility location problem
heuristic algorithms
Mixed Integer Linear Programming (MILP)
Geographic Information Systems (GIS)
Minimum Spanning Tree (MST)
Online Access:https://www.mdpi.com/2075-5309/14/1/213

Internet

https://www.mdpi.com/2075-5309/14/1/213

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