Solving location‐allocation problems with professional optimization software
GW Wolf - Transactions in GIS, 2022 - Wiley Online Library
Location‐allocation modeling has always been regarded as a core part of spatial analysis. A
review of the literature, however, reveals that, nevertheless, publications related to facility …
review of the literature, however, reveals that, nevertheless, publications related to facility …
Identifying charging zones to allocate public charging stations for electric vehicles
In recent years, several techniques have been presented in the specialized literature to
identify the best location for installing public charging stations, considering the demand for …
identify the best location for installing public charging stations, considering the demand for …
Evaluation of heuristics for the p-median problem: Scale and spatial demand distribution
The objective of the p-median problem is to identify p source locations and map them to n
destinations while minimizing the average distance between destinations and …
destinations while minimizing the average distance between destinations and …
An improved fusion crossover genetic algorithm for a time-weighted maximal covering location problem for sensor siting under satellite-borne monitoring
K Wang, Y Gong, Y Peng, C Hu, N Chen - Computers & Geosciences, 2020 - Elsevier
Traditional location problems usually focus on spatial and temporal impacts of facilities, but
few studies have focused on sensor siting under satellite-borne monitoring in a space …
few studies have focused on sensor siting under satellite-borne monitoring in a space …
On solving large p-median problems
Incorporating big data in urban planning has great potential for better modeling of urban
dynamics and more efficiently allocating limited resources. However, big data may present …
dynamics and more efficiently allocating limited resources. However, big data may present …
Effects of geographically stratified random sampling initial solutions on solving a continuous surface p-median location problem using the ALTERN heuristic
In the fields of location theory and spatial optimization, heuristic algorithms have been
developed to overcome the NP-hard nature of solutions to their problems, which results in …
developed to overcome the NP-hard nature of solutions to their problems, which results in …
Computation of the distance between a polygon and a point in spatial analysis
Distance is one of the most important concepts in geography and spatial analysis. Since
distance calculation is straightforward for points, measuring distances for non-point objects …
distance calculation is straightforward for points, measuring distances for non-point objects …
Geoforensics with Pollen Quantification: A Spatial Perspective
Geoforensic science investigates the location and time of criminal occurrences by
integrating multiple fields, including geography, criminology, ecology, biology, and geology …
integrating multiple fields, including geography, criminology, ecology, biology, and geology …
Mathematical problems for designing a short-distance relief goods distribution network in urban areas
LR Mota-Santiago, A Lozano - Transportation Research Procedia, 2024 - Elsevier
In the humanitarian relief efforts after an earthquake strikes, local capabilities are critical in
the first hours to assess the situation and deliver relief supplies to the victims. Usually, the …
the first hours to assess the situation and deliver relief supplies to the victims. Usually, the …
Distance in spatial analysis: measurement, bias, and alternatives
Distance is an important and basic concept in geography. Many theories, methods, and
applications involve distance explicitly or implicitly. While measuring the distance between …
applications involve distance explicitly or implicitly. While measuring the distance between …