Mixed-integer benchmark problems for single- and bi-objective optimization
Author:
Affiliation:
1. Jožef Stefan Institute, Ljubljana, Slovenia
2. Inria, IP Paris, France
Funder
Javna Agencija za Raziskovalno Dejavnost RS
Agence Nationale de la Recherche
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3321707.3321868
Reference24 articles.
1. D. Brockhoff T. Tušar A. Auger and N. Hansen. 2019. Using well-understood single-objective functions in multiobjective black-box optimization test suites. ArXiv e-prints arXiv:1604.00359v3 (2019). D. Brockhoff T. Tušar A. Auger and N. Hansen. 2019. Using well-understood single-objective functions in multiobjective black-box optimization test suites. ArXiv e-prints arXiv:1604.00359v3 (2019).
2. D. Brockhoff T. Tušar D. Tušar T. Wagner N. Hansen and A. Auger. 2016. Biobjective performance assessment with the COCO platform. ArXiv e-prints arXiv:1605.01746 (2016). D. Brockhoff T. Tušar D. Tušar T. Wagner N. Hansen and A. Auger. 2016. Biobjective performance assessment with the COCO platform. ArXiv e-prints arXiv:1605.01746 (2016).
3. MINLPLib—A Collection of Test Models for Mixed-Integer Nonlinear Programming
4. A real coded genetic algorithm for solving integer and mixed integer optimization problems
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