Spatial Optimization
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Updated
Apr 26, 2026 - Python
Spatial Optimization
A Python library for solving maximum coverage location problem
Exact approach to solve the facility location problem with Gurobi.
Facility Location and routing problems: Survey, Models and Algorithm
Instance datasets of operations research problems.
[ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
Julia Package for reading location problems data files
Facility Location Problem solved using GurobiPy. Uncapacitated Facility Location Problem (UFLP) with and without Disruptions. Capacitated Facility Location Problem (CFLP).
An Implementation of Genetic Algorithm for Uncapacitated Facility Location Problem
A case study exploring capacity expansion options for a fulfillment style distribution system.
Facility location problem solved in Go
Flexible Transit Facility Locator Tool: Takes a set of vacant property candidates for a new bus depot and identifies which candidate would minimize total deadhead travel time for a typical weekday schedule.
This project introduces an innovative parking management system driven by the STM32F401VE microcontroller. Experience efficient, hassle-free parking with real-time monitoring and smart features.
Supply Chain Analytics - Notebooks for classroom.
Python implementation of Multiobjective Facility Location Model for Optimizing Oil-Spill Response
The solver to the paper 'Optimal placement of electric vehicle slow-charging stations: A continuous facility location problem under uncertainty' by H.W. Ljósheim, S. Jenkins, K.D. Searle, J.K. Wolff
Optimizes the placement and sizing of EV charging stations using the PSO algorithm, balancing accessibility and infrastructure costs to support sustainability goals and address urban demand.
A partial Benders decomposition (PBD) for solving choice-based competitive facility location problems (CBCFLP)
Optimal placement of portable charging stations on UW–Madison campus via network optimization (Julia/JuMP). CS 524 Final Project, Spring 2026.
A platform designed to optimize facility placement and aid in smart city planning using Voronoi diagrams
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