Notebooks focused on optimization algorithms that are designed to solve the flowshop problem.
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Updated
May 6, 2024 - Jupyter Notebook
Notebooks focused on optimization algorithms that are designed to solve the flowshop problem.
Code and data for "Fast heuristics for minimizing the makespan in non-permutation flow shops"
Eclipse project for solving a flowshop-scheduling problem with the algorithm of Nawaz, Enscore and Ham (NEH algorithm)
Code and data for "Flow shop scheduling with heterogeneous workers"
Branch and bound implementation for flowshop permutation probleme (Séparation et évaluation )
Projeto de iniciação científica desenvolvido como bolsista do CNPq entre 08/2021 e 08/2022
A flexible and extensible framework for generating, and solving instances of common scheduling problems such as Flow Shop, Job Shop, Open Shop and Hybrids. It provides a structured instance representation, solver interfaces, and basic solvers, making it a powerful foundation for research and development in scheduling optimization.
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