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COMP-GA

Optimizing Multi-Size Facility Location under Competition

This repository contains the code and data for the paper "Optimizing Multi-Size Facility Location under Competition: A Model with Competitive Decay and Enhanced Genetic Algorithms."

Overview

This study addresses the multi-size bank location problem by incorporating competitive factors into the optimization process. The model includes competitive decay to simulate real-world conditions and uses an enhanced genetic algorithm to identify optimal facility locations and scales.

Repository Structure

  • data/: Contains datasets used in the study.
  • code/: Source code for the genetic algorithm and optimization model.
  • results/: Output files and figures generated from the experiments.

Installation

To run the code, you need to have Python and the following packages installed:

  • numpy
  • pandas
  • matplotlib
  • scipy
  • rasterio
  • geopy.distance
  • pyproj import Geod
  • json
  • math
  • random
  • tqdm

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