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  4. The proportional constraint and its pruning
 
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2018
Conference Paper
Title

The proportional constraint and its pruning

Abstract
Motivated by the necessity to model the energy loss of energy storage devices, a Proportional Constraint is introduced in finite integer domain Constraint Programming. Therefore rounding is used within its definition. For practical applications in finite domain Constraint Programming, pruning rules are presented and their correctness is proven. Further, it is shown by examples that the number of iterations necessary to reach a fixed-point while pruning depends on the considered constraint instances. However, fixed-point iteration always results in the strongest notion of bounds consistency. Furthermore, an alternative modeling of the Proportional Constraint is presented. The run-times of the implementations of both alternatives are compared showing that the implementation of the Proportional Constraint on the basis of the presented pruning rules performs always better on sample problem classes.
Author(s)
Wolf, Armin  orcid-logo
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Mainwork
Declarative Programming and Knowledge Management  
Project(s)
WaveSave
Funder
Bundesministerium für Wirtschaft und Energie BMWi (Deutschland)  
Conference
Conference on Declarative Programming (DECLARE) 2017  
International Conference on Applications of Declarative Programming and Knowledge Management (INAP) 2017  
Workshop on Logic Programming (WLP) 2017  
Workshop on Functional and (Constraint) Logic Programming (WFLP) 2017  
DOI
10.1007/978-3-030-00801-7_4
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Keyword(s)
  • bounds consistency

  • finite domain constraint programming

  • fixed-point iteration

  • proportional constraint

  • pruning rule

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