Online COP heuristic learning code: "Online Learning of Variable Ordering Heuristics for Constraint Optimisation Problems"

Dataset

Description

This repository contains the source code for the algorithm designed to learn on-the-fly (variable ordering) heuristics for constraint optimization problems (COPs). To apply heuristics to COPs the Geocde solver is used and adapted.


The corresponding paper is:


Online Learning of Variable Ordering Heuristics for Constraint Optimisation Problems

Floris Doolaard and Neil Yorke‐Smith

Annals of Mathematics and Artificial Intelligence

https://doi.org/10.1007/s10472-022-09816-z

published online 2022
Date made available24 Nov 2022
PublisherTU Delft - 4TU.ResearchData
Date of data production2022 -
  • 1 Conference contribution

  • Online Learning of Deeper Variable Ordering Heuristics for Constraint Optimisation Problems

    Doolaard, F. P. & Yorke-Smith, N., 2021, BNAIC/BeneLearn 2021: 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning. Leiva, E. L. A., Pruski, C., Markovich, R., Najjar, A. & Schommer, C. (eds.). p. 789-791

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
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