JUN12027

CPAIOR 2027 — 24th International Conference on the Integration of Constraint Programming, Artificial Intelligence and Operations Research

by CPAIOR conference series (local organization led by LAAS-CNRS and ONERA)

conferenceIn-PersonUpcomingStarts in 8 months

The research conference where constraint programming, machine learning and operations research meet, in Toulouse in June 2027.

June 1–4, 2027·Toulouse, France·Paid
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THE DAILY BRIEF
JUN12027
CPAIOR 2027 — 24th International Conference on the Integration of Constraint Programming, Artificial Intelligence and Operations Research

by CPAIOR conference series (local organization led by LAAS-CNRS and ONERA)

conferenceIn-Personupcoming

The research conference where constraint programming, machine learning and operations research meet, in Toulouse in June 2027.

About This Event

CPAIOR 2027 is the 24th International Conference on the Integration of Constraint Programming, Artificial Intelligence and Operations Research, held June 1-4, 2027 in Toulouse, France. It is the 28th meeting of a series that began as a workshop. A Master Class opens the event on June 1, followed by three days of the main conference from June 2 to 4. The call for papers covers combining machine learning with optimization (neurally guided solving, prediction-plus-optimization, LLMs for modeling and solving), relaxation and inference methods, search strategies, hybrid MIP/CP/SAT solving and decision-making under uncertainty. Christian Artigues of LAAS-CNRS chairs the program and Stéphanie Roussel of ONERA chairs the conference. The organizing committee includes Airbus, ANITI, INRAE, IRIT, ENAC and ISAE-Supaéro.

At a Glance

Date
June 1–4, 2027
Location
Toulouse, France
Format
In-Person
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
CPAIOR conference series (local organization led by LAAS-CNRS and ONERA)
Added
Oct 12, 2026
Updated
Oct 12, 2026

Topics & Focus Areas

Constraint programmingMixed-integer programmingMachine learning for combinatorial optimizationLLMs for optimization modelingPrediction-plus-optimizationDecision diagrams and dynamic programmingDecomposition methods (column generation, Benders)Decision-making under uncertaintySAT and hybrid solvers

Who Should Attend

  • ✓Operations research scientists
  • ✓Machine learning researchers working on optimization
  • ✓Constraint programming and SAT solver developers
  • ✓Applied optimization teams in aerospace, logistics and manufacturing
  • ✓PhD students and postdocs
  • ✓Decision-science and planning engineers

Organizer

C

CPAIOR conference series (local organization led by LAAS-CNRS and ONERA)

sites.google.com/view/cpaior2027

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About This Event

CPAIOR 2027 is the 24th International Conference on the Integration of Constraint Programming, Artificial Intelligence and Operations Research, held June 1-4, 2027 in Toulouse, France. It is the 28th meeting of a series that began as a workshop. A Master Class opens the event on June 1, followed by three days of the main conference from June 2 to 4. The call for papers covers combining machine learning with optimization (neurally guided solving, prediction-plus-optimization, LLMs for modeling and solving), relaxation and inference methods, search strategies, hybrid MIP/CP/SAT solving and decision-making under uncertainty. Christian Artigues of LAAS-CNRS chairs the program and Stéphanie Roussel of ONERA chairs the conference. The organizing committee includes Airbus, ANITI, INRAE, IRIT, ENAC and ISAE-Supaéro.

Key Dates & Deadlines

  • Abstract deadline (regular papers)
  • Paper submission deadline (regular papers)
  • Rebuttal period opens
  • Rebuttal period closes
  • Notification to authors (regular papers)
  • Extended abstract submission deadline
  • Notification to authors (extended abstracts)

At a Glance

Date
June 1–4, 2027
Location
Toulouse, France
Format
In-Person
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
CPAIOR conference series (local organization led by LAAS-CNRS and ONERA)
Added
Oct 12, 2026
Updated
Oct 12, 2026

Topics & Focus Areas

Constraint programmingMixed-integer programmingMachine learning for combinatorial optimizationLLMs for optimization modelingPrediction-plus-optimizationDecision diagrams and dynamic programmingDecomposition methods (column generation, Benders)Decision-making under uncertaintySAT and hybrid solvers

Who Should Attend

  • ✓Operations research scientists
  • ✓Machine learning researchers working on optimization
  • ✓Constraint programming and SAT solver developers
  • ✓Applied optimization teams in aerospace, logistics and manufacturing
  • ✓PhD students and postdocs
  • ✓Decision-science and planning engineers

Why Attend

If you run planning, scheduling, routing or capacity optimization, this is where the people building the next generation of solvers present their work, including the current wave of methods that let ML models and LLMs guide or formulate optimization problems. A head of decision science or an operations-research lead can judge which hybrid ML-plus-solver techniques are ready for production, and can recruit PhD-level optimization talent. Toulouse adds direct contact with Airbus, ONERA and ANITI teams who apply these methods to aerospace and transport problems.

Event Features

  • ✓Master Class day, Tuesday June 1, 2027
  • ✓Main conference June 2-4, 2027
  • ✓CFP area: machine learning and optimization integration, including neurally guided solving, prediction-plus-optimization and LLMs for modeling and solving
  • ✓CFP area: relaxation and inference (constraint propagation, cutting planes, conic optimization, decision diagrams, dynamic programming)
  • ✓CFP area: search strategies (branch-and-bound, column generation and Benders decomposition, learning-based heuristics)
  • ✓CFP area: integrated MIP/CP/SAT methods, distributed solving and portfolio approaches
  • ✓CFP area: CP/AI/OR techniques for decision-making under uncertainty, plus innovative models and applications
  • ✓Paper types: long papers (15 pages), short papers (8 pages) and 1-2 page extended abstracts for the poster session

What Makes This Unique

  • ★One of the few venues dedicated specifically to combining ML, constraint programming and mathematical optimization, the methods behind scheduling, routing and planning systems
  • ★The organizing committee includes Airbus, ONERA, ANITI (Toulouse's AI institute) and INRAE, so the Toulouse edition sits inside an active industrial optimization community
  • ★Opens with a dedicated Master Class day (June 1, 2027) before the main conference
  • ★Regular papers go through a rebuttal phase and appear in the LNCS proceedings volume; 1-2 page extended abstracts get a poster slot

Industries Represented

AerospaceLogistics and supply chainManufacturingEnergyTransportation

Pricing Details

Registration fees are not published yet; the official important-dates page lists registration as TBA (checked October 12, 2026).

Organizer

C

CPAIOR conference series (local organization led by LAAS-CNRS and ONERA)

sites.google.com/view/cpaior2027

Frequently Asked

When is CPAIOR 2027?
CPAIOR 2027 takes place June 1–4, 2027 in Toulouse, France.
Where is CPAIOR 2027 held?
CPAIOR 2027 is held in Toulouse, France. The event format is in-person.
What is the CPAIOR 2027 submission deadline?
The next CPAIOR 2027 deadline is abstract deadline (regular papers) on Dec 1, 2026. Remaining dates: Paper submission deadline (regular papers) — Dec 7, 2026; Rebuttal period opens — Jan 26, 2027; Rebuttal period closes — Jan 29, 2027; Notification to authors (regular papers) — Feb 10, 2027; Extended abstract submission deadline — Mar 25, 2027; Notification to authors (extended abstracts) — Apr 9, 2027.
How much does CPAIOR 2027 cost?
CPAIOR 2027 is paid. Registration fees are not published yet; the official important-dates page lists registration as TBA (checked October 12, 2026).
Who should attend CPAIOR 2027?
CPAIOR 2027 is aimed at Operations research scientists, Machine learning researchers working on optimization, Constraint programming and SAT solver developers, Applied optimization teams in aerospace, logistics and manufacturing, PhD students and postdocs, Decision-science and planning engineers.
What topics does CPAIOR 2027 cover?
CPAIOR 2027 covers Constraint programming, Mixed-integer programming, Machine learning for combinatorial optimization, LLMs for optimization modeling, Prediction-plus-optimization, Decision diagrams and dynamic programming, Decomposition methods (column generation, Benders), Decision-making under uncertainty, SAT and hybrid solvers.

Sources

This page was written from 5 sources, 1 on domains other than sites.google.com.

  1. 1.sites.google.com — cpaior2027vendor
  2. 2.sites.google.com — datesvendor
  3. 3.sites.google.com — call for papersvendor
  4. 4.sites.google.com — organisationvendor
  5. 5.myhuiban.com — 2409
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