International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research in Delft

I’m co-chairing the 15th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR) with Willem-Jan van Hoeve. It will be will be held in Delft, The Netherlands, June 26-29, and co-located with the 28th International Conference on Automated Planning and Scheduling (ICAPS). We have just sent out the call for papers. Please submit!

The aim of the conference is to bring together interested researchers from Constraint Programming (CP), Artificial Intelligence (AI), and Operations Research (OR) to present new techniques or applications and to provide an opportunity for researchers in one area to learn about techniques in the others. A main objective of this conference series is also to give these researchers the opportunity to show how the integration of techniques from different fields can lead to interesting results on large and complex problems. Therefore, papers that actively combine, integrate, or contrast approaches from more than one of the areas are especially solicited. High quality papers from a single area are also welcome, if they are of interest to other communities involved. Application papers showcasing CP/AI/OR techniques on novel and challenging applications or experience reports on such applications are strongly encouraged.

The program committee invites submissions that include but are not limited to the following topics:

  • Inference and relaxation methods: constraint propagation, cutting planes, global constraints, graph algorithms, dynamic programming, Lagrangian and convex relaxations, heuristic functions based on constraint relaxation.
  • Search methods: branch and bound, intelligent backtracking, incomplete search, randomized search, portfolios, column generation, Benders decompositions or any other decomposition methods, local search, meta-heuristics.
  • Integration methods: solver communication, model transformations and solver selection, parallel and distributed solving, combining machine learning with combinatorial optimization.
  • Modeling methods: comparison of models, symmetry breaking, uncertainty, dominance relationships.
  • Innovative applications of CP/AI/OR techniques.
  • Implementation of CP/AI/OR techniques and optimization systems.

Submissions are of two types: regular papers (submitted for publication and presentation) and extended abstracts (submitted for presentation only). Outstanding regular paper submissions may be invited to be published directly in the journal Constraints through a “fast track” process.

This year’s conference will also introduce a distinguished paper award and a student paper award.

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