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The oracle penalty method

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  • Martin Schlüter
  • Matthias Gerdts

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  • Martin Schlüter & Matthias Gerdts, 2010. "The oracle penalty method," Journal of Global Optimization, Springer, vol. 47(2), pages 293-325, June.
    • Handle: RePEc:spr:jglopt:v:47:y:2010:i:2:p:293-325
    DOI: 10.1007/s10898-009-9477-0
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    References listed on IDEAS

    as
    1. Socha, Krzysztof & Dorigo, Marco, 2008. "Ant colony optimization for continuous domains," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1155-1173, March.
    2. Atidel Ben Hadj-Alouane & James C. Bean, 1997. "A Genetic Algorithm for the Multiple-Choice Integer Program," Operations Research, INFORMS, vol. 45(1), pages 92-101, February.
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    Citations

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    Cited by:

    1. Maen Z. Kreishan & Ahmed F. Zobaa, 2022. "Mixed-Integer Distributed Ant Colony Optimization of Dump Load Allocation with Improved Islanded Microgrid Load Flow," Energies, MDPI, vol. 16(1), pages 1-30, December.
    2. Teichgraeber, Holger & Brodrick, Philip G. & Brandt, Adam R., 2017. "Optimal design and operations of a flexible oxyfuel natural gas plant," Energy, Elsevier, vol. 141(C), pages 506-518.
    3. Maen Z. Kreishan & Ahmed F. Zobaa, 2023. "Scenario-Based Uncertainty Modeling for Power Management in Islanded Microgrid Using the Mixed-Integer Distributed Ant Colony Optimization," Energies, MDPI, vol. 16(10), pages 1-30, May.
    4. J. Gago-Vargas & I. Hartillo & J. Puerto & J. Ucha, 2015. "An improved test set approach to nonlinear integer problems with applications to engineering design," Computational Optimization and Applications, Springer, vol. 62(2), pages 565-588, November.
    5. Eryang Guo & Yuelin Gao & Chenyang Hu & Jiaojiao Zhang, 2023. "A Hybrid PSO-DE Intelligent Algorithm for Solving Constrained Optimization Problems Based on Feasibility Rules," Mathematics, MDPI, vol. 11(3), pages 1-34, January.
    6. Nikolaos Ploskas & Nikolaos V. Sahinidis, 2022. "Review and comparison of algorithms and software for mixed-integer derivative-free optimization," Journal of Global Optimization, Springer, vol. 82(3), pages 433-462, March.
    7. Umesh Balande & Deepti Shrimankar, 2020. "An oracle penalty and modified augmented Lagrangian methods with firefly algorithm for constrained optimization problems," Operational Research, Springer, vol. 20(2), pages 985-1010, June.
    8. Qiao Zhao & Mounir Mecheri & Thibaut Neveux & Romain Privat & Jean-Noël Jaubert & Yann Le Moullec, 2023. "Search for the Optimal Design of a Supercritical-CO 2 Brayton Power Cycle from a Superstructure-Based Approach Implemented in a Commercial Simulation Software," Energies, MDPI, vol. 16(14), pages 1-31, July.
    9. Kalyanmoy Deb & Soumil Srivastava, 2012. "A genetic algorithm based augmented Lagrangian method for constrained optimization," Computational Optimization and Applications, Springer, vol. 53(3), pages 869-902, December.
    10. Gauri Thakur & Ashok Pal & Nitin Mittal & Asha Rajiv & Rohit Salgotra, 2024. "Slime Mould Algorithm Based on a Gaussian Mutation for Solving Constrained Optimization Problems," Mathematics, MDPI, vol. 12(10), pages 1-37, May.

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