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README.md

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# Infeasibility detector for Multiobjective Bilevel Optimization
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This project implements the labeling process to identify infeasible solutions in multi-objective bilevel optimization.
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This project implements the labeling process to identify infeasible solutions in multi-objective bilevel optimization described in the paper:
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```
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J. -A. Mejía-de-Dios, A. Rodríguez-Molina and E. Mezura-Montes, "An Efficient Data-Driven Framework for Detecting Infeasible Solutions in Multiobjective Evolutionary Bilevel Optimization," in IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2024.3469156.
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## Project Structure
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## How to cite?
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Please cite us using the bibtex entry
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Please cite us using the following bibtex entry
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```bib
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@article{MejadeDios2024,
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}
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```
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or the citation string
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```
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J. -A. Mejía-de-Dios, A. Rodríguez-Molina and E. Mezura-Montes, "An Efficient Data-Driven Framework for Detecting Infeasible Solutions in Multiobjective Evolutionary Bilevel Optimization," in IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2024.3469156. keywords: {Optimization;Evolutionary computation;Vectors;Linear programming;Metaheuristics;Computational modeling;Closed box;Training;Predictive models;Measurement},
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