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CCOp Mv: Scenarios of Brumadinho-MG and Optimized Solutions

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Citation Author(s):
Emerson Antunes (University of Brasilia)
Submitted by:
Emerson Antunes
Last updated:
DOI:
10.21227/p4sh-5n54
Data Format:
*.zip;*.ods;*.png;*.py
Links:
GitHub Project
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Categories:
Keywords:
Resource allocation
Geographical allocation
Heuristic Optimization
Exact Optimization
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Abstract

Map of the system's operating area. Note: access roads in black.

Instructions:

The best tutorial to use this Data Set is the paper: "Optimized solutions for deploying a militarized 4G/LTE network with maximum coverage and minimum interference".

Dataset Files

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DATASET SCRIPTS

Simulations for selecting the best crossover method
Simulations for selecting the best mutation method
Simulations for selecting the best selection method
E-ALLOCATOR solution is an Exact solution based on Branch and Bound algorithm
Graphics developed for evaluating project solutions
Heuristc to benchmark
Adjustment of the hyperparameters of the M-ALLOCATOR solution
M-ALLOCATOR solution is an Metaheuristic solution based on Genetic Algorithm
Geographical positions of installation of BTSs
Geographic positions of system customers
Adjacency Matrices

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