Startsida
Hjälp
Sök i LIBRIS databas

     

 

Sökning: onr:3jbcfnhj1h27q7p0 > Function Variables ...

Function Variables for Constraint Programming [Elektronisk resurs]

Hnich, Brahim, 1975- (författare)
Tsang, Edward (opponent)
Uppsala universitet Humanistisk-samhällsvetenskapliga vetenskapsområdet (utgivare)
Publicerad: Uppsala : Institutionen för informationsvetenskap, 2003
Engelska 156
Läs hela texten
Läs hela texten
  • E-bokAvhandling(Diss. Uppsala : Uppsala universitet, 2003)
Sammanfattning Ämnesord
Stäng  
  • Quite often modelers with constraint programming (CP) use the same modelling patterns for different problems, possibly from different domains. This results in recurring idioms in constraint programs. Our approach can be seen as a three-step approach. First, we identify some of these recurring patterns in constraint programs. Second, we propose a general way of describing these patterns by introducing proper constructs that would cover a wide range of applications. Third, we propose automating the process of reproducing these idioms from these higher-level descriptions. The whole process can be seen as a way of encapsulating some of the expertise and knowledge often used by CP modelers and making it available in much simpler forms. Doing so, we are able to extend current CP languages with high-level abstractions that open doors for automation of some of the modelling processes. In particular, we introduce function variables and allow the statement of constraints on these variables using function operations. A function variable is a decision variable that can take a value from a set of functions as opposed to an integer variable that ranges over integers, or a set variable that ranges over a set of sets. We show that a function variable can be mapped into different representations in terms of integer and set variables, and illustrate how to map constraints stated on a function variable into constraints on integer and set variables. As a result, a function model expressed using function variables opens doors to the automatic generation of alternate CP models. These alternate models either use a different variable representation, or have extra implied constraints, or employ different constraint formulation, or combine different models that are linked using channelling constraints. A number of heuristics are also developed that allow the comparison of different constraint formulations. Furthermore, we present an extensive theoretical comparison of models of injection problems supported by asymptotic and empirical studies. Finally, a practical modelling tool that is built based on a high-level language that allows function variables is presented and evaluated. The tool helps users explore different alternate CP models starting from a function model that is easier to develop, understand, and maintain. 

Ämnesord

Natural Sciences  (hsv)
Computer and Information Sciences  (hsv)
Computer Sciences  (hsv)
Naturvetenskap  (hsv)
Data- och informationsvetenskap  (hsv)
Datavetenskap (datalogi)  (hsv)
TECHNOLOGY  (svep)
Information technology  (svep)
Computer science  (svep)
Computer science  (svep)
TEKNIKVETENSKAP  (svep)
Informationsteknik  (svep)
Datavetenskap  (svep)
Datalogi  (svep)
Computer Science  (uu)
data- och systemvetenskap  (uu)

Genre

government publication  (marcgt)

Indexterm och SAB-rubrik

Datalogi
Constraint saisfaction
constraint programming
high-level modelling
abstraction
reformulation
function variables.
Datalogi
Inställningar Hjälp

Uppgift om bibliotek saknas i LIBRIS

Kontakta ditt bibliotek, eller sök utanför LIBRIS. Se högermenyn.

Om LIBRIS
Sekretess
Hjälp
Fel i posten?
Kontakt
Teknik och format
Sök utifrån
Sökrutor
Plug-ins
Bookmarklet
Anpassa
Textstorlek
Kontrast
Vyer
LIBRIS söktjänster
SwePub
Uppsök

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

Copyright © LIBRIS - Nationella bibliotekssystem

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy