3 Search Results for "Terrioux, Cyril"

Document
DOI: 10.4230/LIPIcs.CP.2023.16
A CP Approach for the Liner Shipping Network Design Problem

Authors: Yousra El Ghazi, Djamal Habet, and Cyril Terrioux

Published in: LIPIcs, Volume 280, 29th International Conference on Principles and Practice of Constraint Programming (CP 2023)

Abstract
The liner shipping network design problem consists, for a shipowner, in determining, on the one hand, which maritime lines (in the form of rotations serving a set of ports) to open, and, on the other hand, the assignment of ships (container ships) with the adapted sizes for the different lines to carry all the container flows. In this paper, we propose a modeling of this problem using constraint programming. Then, we present a preliminary study of its solving using a state-of-the-art solver, namely the OR-Tools CP-SAT solver.
Cite as

Yousra El Ghazi, Djamal Habet, and Cyril Terrioux. A CP Approach for the Liner Shipping Network Design Problem. In 29th International Conference on Principles and Practice of Constraint Programming (CP 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 280, pp. 16:1-16:21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{elghazi_et_al:LIPIcs.CP.2023.16,
  author =	{El Ghazi, Yousra and Habet, Djamal and Terrioux, Cyril},
  title =	{{A CP Approach for the Liner Shipping Network Design Problem}},
  booktitle =	{29th International Conference on Principles and Practice of Constraint Programming (CP 2023)},
  pages =	{16:1--16:21},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-300-3},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{280},
  editor =	{Yap, Roland H. C.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2023.16},
  URN =		{urn:nbn:de:0030-drops-190532},
  doi =		{10.4230/LIPIcs.CP.2023.16},
  annote =	{Keywords: Constraint optimization problem, modeling, solving, industrial application}
}
Document
DOI: 10.4230/LIPIcs.CP.2021.19
Exhaustive Generation of Benzenoid Structures Sharing Common Patterns

Authors: Yannick Carissan, Denis Hagebaum-Reignier, Nicolas Prcovic, Cyril Terrioux, and Adrien Varet

Published in: LIPIcs, Volume 210, 27th International Conference on Principles and Practice of Constraint Programming (CP 2021)

Abstract
Benzenoids are a subfamily of hydrocarbons (molecules that are only made of hydrogen and carbon atoms) whose carbon atoms form hexagons. These molecules are widely studied both experimentally and theoretically and can have various physicochemical properties (mechanical resistance, electronic conductivity, ...) from which a lot of concrete applications are derived. These properties can rely on the existence or absence of fragments of the molecule corresponding to a given pattern (some patterns impose the nature of certain bonds, which has an impact on the whole electronic structure). The exhaustive generation of families of benzenoids sharing the absence or presence of given patterns is an important problem in chemistry, particularly in theoretical chemistry, where various methods can be used to better understand the link between their shapes and their electronic properties. In this paper, we show how constraint programming can help chemists to answer different questions around this problem. To do so, we propose different models including one based on a variant of the subgraph isomorphism problem and we generate the desired structures using Choco solver.
Cite as

Yannick Carissan, Denis Hagebaum-Reignier, Nicolas Prcovic, Cyril Terrioux, and Adrien Varet. Exhaustive Generation of Benzenoid Structures Sharing Common Patterns. In 27th International Conference on Principles and Practice of Constraint Programming (CP 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 210, pp. 19:1-19:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{carissan_et_al:LIPIcs.CP.2021.19,
  author =	{Carissan, Yannick and Hagebaum-Reignier, Denis and Prcovic, Nicolas and Terrioux, Cyril and Varet, Adrien},
  title =	{{Exhaustive Generation of Benzenoid Structures Sharing Common Patterns}},
  booktitle =	{27th International Conference on Principles and Practice of Constraint Programming (CP 2021)},
  pages =	{19:1--19:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-211-2},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{210},
  editor =	{Michel, Laurent D.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2021.19},
  URN =		{urn:nbn:de:0030-drops-153106},
  doi =		{10.4230/LIPIcs.CP.2021.19},
  annote =	{Keywords: Constraint satisfaction problem, modeling, pattern, application, theoretical chemistry}
}
Document
DOI: 10.4230/LIPIcs.CP.2021.20
Combining VSIDS and CHB Using Restarts in SAT

Authors: Mohamed Sami Cherif, Djamal Habet, and Cyril Terrioux

Published in: LIPIcs, Volume 210, 27th International Conference on Principles and Practice of Constraint Programming (CP 2021)

Abstract
Conflict Driven Clause Learning (CDCL) solvers are known to be efficient on structured instances and manage to solve ones with a large number of variables and clauses. An important component in such solvers is the branching heuristic which picks the next variable to branch on. In this paper, we evaluate different strategies which combine two state-of-the-art heuristics, namely the Variable State Independent Decaying Sum (VSIDS) and the Conflict History-Based (CHB) branching heuristic. These strategies take advantage of the restart mechanism, which helps to deal with the heavy-tailed phenomena in SAT, to switch between these heuristics thus ensuring a better and more diverse exploration of the search space. Our experimental evaluation shows that combining VSIDS and CHB using restarts achieves competitive results and even significantly outperforms both heuristics for some chosen strategies.
Cite as

Mohamed Sami Cherif, Djamal Habet, and Cyril Terrioux. Combining VSIDS and CHB Using Restarts in SAT. In 27th International Conference on Principles and Practice of Constraint Programming (CP 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 210, pp. 20:1-20:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{cherif_et_al:LIPIcs.CP.2021.20,
  author =	{Cherif, Mohamed Sami and Habet, Djamal and Terrioux, Cyril},
  title =	{{Combining VSIDS and CHB Using Restarts in SAT}},
  booktitle =	{27th International Conference on Principles and Practice of Constraint Programming (CP 2021)},
  pages =	{20:1--20:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-211-2},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{210},
  editor =	{Michel, Laurent D.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2021.20},
  URN =		{urn:nbn:de:0030-drops-153110},
  doi =		{10.4230/LIPIcs.CP.2021.20},
  annote =	{Keywords: Satisfiability, Branching Heuristic, Restarts}
}
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