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Reduced RLT constraints for polynomial programming

Sonia Cafieri 1 Pierre Hansen 2 Lucas Létocart 3 Leo Liberti 4 Frédéric Messine 5
1 ENAC - Ecole Nationale de l'Aviation Civile
2 HEC Montréal - HEC Montréal
3 LIPN - Laboratoire d'Informatique de Paris-Nord
4 LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]
5 ENSEEIHT - Ecole Nationale Supérieure d'Electrotechnique, d'Electronique, d'Informatique, d'Hydraulique et de Télécommunications
Abstract : An extension of the reduced Reformulation-Linearization Technique constraints from quadratic to general polynomial programming problems with linear equality constraints is presented and a strategy to improve the associated convex relaxation is proposed.
Keywords : polynomial MINLP sBB convex relaxation RLT
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Submitted on : Tuesday, April 15, 2014 - 2:05:41 PM
Last modification on : Wednesday, October 27, 2021 - 3:00:43 PM
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  • HAL Id : hal-00938438, version 1

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MAIAA-OPTIM | INSMI | ENAC | UNIV-PARIS13 | CNRS | LIX | X-LIX | X | LIPN | TDS-MACS | X-DEP-INFO | GALILE | SORBONNE-PARIS-NORD

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Sonia Cafieri, Pierre Hansen, Lucas Létocart, Leo Liberti, Frédéric Messine. Reduced RLT constraints for polynomial programming. EWMINLP10, European Workshop on Mixed Integer Nonlinear Programming, Apr 2010, Marseille, France. pp 205-207. ⟨hal-00938438⟩

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