The continuous quadrant penalty formulation of logical constraints

Could continuous optimization address efficiently logical constraints? We propose a continuous-optimization alternative to the usual discrete-optimization (big-M and complementary) formulations of logical constraints, that can lead to effective practical methods. Based on the simple idea of guiding...

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Main Authors: Cafieri, Sonia, Conn, Andrew R., Mongeau, Marcel
Format: Article
Language:English
Published: Université de Montpellier 2023-09-01
Series:Open Journal of Mathematical Optimization
Subjects:
Online Access:https://ojmo.centre-mersenne.org/articles/10.5802/ojmo.28/
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author Cafieri, Sonia
Conn, Andrew R.
Mongeau, Marcel
author_facet Cafieri, Sonia
Conn, Andrew R.
Mongeau, Marcel
author_sort Cafieri, Sonia
collection DOAJ
description Could continuous optimization address efficiently logical constraints? We propose a continuous-optimization alternative to the usual discrete-optimization (big-M and complementary) formulations of logical constraints, that can lead to effective practical methods. Based on the simple idea of guiding the search of a continuous-optimization descent method towards the parts of the domain where the logical constraint is satisfied, we introduce a smooth penalty-function formulation of logical constraints, and related theoretical results. This formulation allows a direct use of state-of-the-art continuous optimization solvers. The effectiveness of the continuous quadrant penalty formulation is demonstrated on an aircraft conflict avoidance application.
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institution Kabale University
issn 2777-5860
language English
publishDate 2023-09-01
publisher Université de Montpellier
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series Open Journal of Mathematical Optimization
spelling doaj-art-8675306bca67479ba0de6c41e7f568b82025-02-07T14:02:56ZengUniversité de MontpellierOpen Journal of Mathematical Optimization2777-58602023-09-01411210.5802/ojmo.2810.5802/ojmo.28The continuous quadrant penalty formulation of logical constraintsCafieri, Sonia0Conn, Andrew R.1Mongeau, Marcel2ENAC, Université de Toulouse, FranceIBM T.J. Watson Research Center, NY, USAENAC, Université de Toulouse, FranceCould continuous optimization address efficiently logical constraints? We propose a continuous-optimization alternative to the usual discrete-optimization (big-M and complementary) formulations of logical constraints, that can lead to effective practical methods. Based on the simple idea of guiding the search of a continuous-optimization descent method towards the parts of the domain where the logical constraint is satisfied, we introduce a smooth penalty-function formulation of logical constraints, and related theoretical results. This formulation allows a direct use of state-of-the-art continuous optimization solvers. The effectiveness of the continuous quadrant penalty formulation is demonstrated on an aircraft conflict avoidance application.https://ojmo.centre-mersenne.org/articles/10.5802/ojmo.28/Logical constraintspenalty functioncontinuous optimizationaircraft conflicts
spellingShingle Cafieri, Sonia
Conn, Andrew R.
Mongeau, Marcel
The continuous quadrant penalty formulation of logical constraints
Open Journal of Mathematical Optimization
Logical constraints
penalty function
continuous optimization
aircraft conflicts
title The continuous quadrant penalty formulation of logical constraints
title_full The continuous quadrant penalty formulation of logical constraints
title_fullStr The continuous quadrant penalty formulation of logical constraints
title_full_unstemmed The continuous quadrant penalty formulation of logical constraints
title_short The continuous quadrant penalty formulation of logical constraints
title_sort continuous quadrant penalty formulation of logical constraints
topic Logical constraints
penalty function
continuous optimization
aircraft conflicts
url https://ojmo.centre-mersenne.org/articles/10.5802/ojmo.28/
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