St Andrews Research Repository

St Andrews University Home
View Item 
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.

Towards reformulating Essence specifications for robustness

Thumbnail
View/Open
2111.00821v1.pdf (163.2Kb)
Date
25/10/2021
Author
Akgün, Özgür
Frisch, Alan M.
Gent, Ian P.
Jefferson, Christopher
Miguel, Ian
Nightingale, Peter
Salamon, András Z.
Funder
EPSRC
EPSRC
The Royal Society
Grant ID
EP/K015745/1
EP/V027182/1
RGF\EA\181005
Keywords
QA75 Electronic computers. Computer science
QA76 Computer software
DAS
NIS
Metadata
Show full item record
Altmetrics Handle Statistics
Abstract
The Essence language allows a user to specify a constraint problem at a level of abstraction above that at which constraint modelling decisions are made. Essence specifications are refined into constraint models using the Conjure automated modelling tool, which employs a suite of refinement rules. However, Essence is a rich language in which there are many equivalent ways to specify a given problem. A user may therefore omit the use of domain attributes or abstract types, resulting in fewer refinement rules being applicable and therefore a reduced set of output models from which to select. This paper addresses the problem of recovering this information automatically to increase the robustness of the quality of the output constraint models in the face of variation in the input Essence specification. We present reformulation rules that can change the type of a decision variable or add attributes that shrink its domain. We demonstrate the efficacy of this approach in terms of the quantity and quality of models Conjure can produce from the transformed specification compared with the original.
Citation
Akgün , Ö , Frisch , A M , Gent , I P , Jefferson , C , Miguel , I , Nightingale , P & Salamon , A Z 2021 , Towards reformulating Essence specifications for robustness . in ModRef 2021 - The 20th workshop on Constraint Modelling and Reformulation (ModRef) . The 20th workshop on Constraint Modelling and Reformulation (ModRef) , 25/10/21 . < https://arxiv.org/abs/2111.00821 >
 
workshop
 
Publication
ModRef 2021 - The 20th workshop on Constraint Modelling and Reformulation (ModRef)
Type
Conference item
Rights
Copyright © 2021by the authors.This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license (https://creativecommons.org/licenses/by-sa/4.0/).
Description
Funding: This research was supported by the UK EPSRC grants EP/K015745/1 and EP/V027182/1. Chris Jefferson is a University Research Fellow funded by the Royal Society
Collections
  • University of St Andrews Research
URL
https://www-users.cs.york.ac.uk/~frisch/ModRef/
https://arxiv.org/abs/2111.00821
URI
http://hdl.handle.net/10023/24385

Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

Advanced Search

Browse

All of RepositoryCommunities & CollectionsBy Issue DateNamesTitlesSubjectsClassificationTypeFunderThis CollectionBy Issue DateNamesTitlesSubjectsClassificationTypeFunder

My Account

Login

Open Access

To find out how you can benefit from open access to research, see our library web pages and Open Access blog. For open access help contact: openaccess@st-andrews.ac.uk.

Accessibility

Read our Accessibility statement.

How to submit research papers

The full text of research papers can be submitted to the repository via Pure, the University's research information system. For help see our guide: How to deposit in Pure.

Electronic thesis deposit

Help with deposit.

Repository help

For repository help contact: Digital-Repository@st-andrews.ac.uk.

Give Feedback

Cookie policy

This site may use cookies. Please see Terms and Conditions.

Usage statistics

COUNTER-compliant statistics on downloads from the repository are available from the IRUS-UK Service. Contact us for information.

© University of St Andrews Library

University of St Andrews is a charity registered in Scotland, No SC013532.

  • Facebook
  • Twitter