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Wyszukujesz frazę "Banaszak, Z." wg kryterium: Autor


Wyświetlanie 1-3 z 3
Tytuł:
Constraint-based scheduling in Oz/Mozart
Autorzy:
Sitek, P.
Wikarek, J.
Banaszak, Z.
Powiązania:
https://bibliotekanauki.pl/articles/118013.pdf
Data publikacji:
2006
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
constraint programming
decision support
scheduling
Opis:
In this paper we present how scheduling problems can be solved in the concurrent constraint programming (CCP) language Oz. Oz is the first high- level constraint language, which offers programmable search, modularity, expressiveness and an interface to invent new constraints using C++. As an example of scheduling problem the job-shop scheduling problem with manpower resources representation was considered. The objective discussed here is the minimization of the makespan. Allocating manpower to the jobs is more complicated than allocating machines, as different jobs and operations require different manpower. This problem is strongly NP-hard. We proposed the constraint programming (CP) based approach to decision support in this environment. The most important features of CP are declarative problem modeling, allowing a clear separation between the problem statement (variables and constraints) and the resolution of the problem.
Źródło:
Applied Computer Science; 2006, 2, 1; 83-99
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Decision support tool for projects portfolio prototyping
Autorzy:
Bocewicz, G.
Bach, I.
Banaszak, Z.
Powiązania:
https://bibliotekanauki.pl/articles/117707.pdf
Data publikacji:
2008
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
scheduling
constraint programming
decision support system
Opis:
Constraint Programming (CP) is an emergent software technology for declarative description and effective solving of large combinatorial problems especially in the area of projects portfolio prototyping. The paper deals with multi-resource and multi-criteria problem in which more than one shared renewable resource type may be required by manufacturing operation and the availability of each type is time-windows limited. The problem belongs to a class of NP-complete ones. The aim of the paper is to present a knowledge based and CP-driven approach to resource allocation conflicts resolution framework. Proposed framework stands behind a methodology aimed at task oriented DSS tolls designing. The Portfolio Project Prototyping System designed due to this methodology provides a prompt and interactive service to a set of routine queries stated both in straight and reverse way. Multiple illustrative examples are discussed.
Źródło:
Applied Computer Science; 2008, 4, 2; 43-62
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Knowledge based and CLP-driven approach to multi-robot task allocation for multiproduct job shop
Autorzy:
Bocewicz, G.
Mądry, M.
Banaszak, Z.
Powiązania:
https://bibliotekanauki.pl/articles/117904.pdf
Data publikacji:
2008
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
scheduling
constraint programming
knowledge engineering
decision making
Opis:
Constraint Programming (CP) is an emergent software technology for declarative description and effective solving of large combinatorial problems especially in the area of integrated production planning. In that context, CP can be considered as an appropriate framework for development of decision making software supporting scheduling of multi-robot in a multi-product flow shop. The paper deals with multi-resource problem in which more than one shared renewable resource type may be required by manufacturing operation and the availability of each type is time-windows limited. The problem belongs to a class of NP-complete ones. The aim of the paper is to present a knowledge based and CLP-driven approach to multi-robot task allocation framework providing a prompt service to a set of routine queries stated both in straight and reverse way. Provided example concentrates on the first case taking into account both an accurate and an uncertain specification of robots operation time..
Źródło:
Applied Computer Science; 2008, 4, 1; 18-29
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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