Paper Info
Title
Design of a learning fuzzy production system to solve an NP-hard real-time assignment problem
Abstract
This paper presents the design of a learning fuzzy production system to solve an NP-hard problem consisting of a set of real-time preemptible tasks to be assigned to a set of heterogeneous processors, with placement, resource, communications and time constraints. Time to obtain the first solution and the number of solutions found for different known problems are given
Year
DOI
Venue
1996
10.1109/EMWRTS.1996.557845
L'Aquila
Keywords
Field
DocType
computational complexity,knowledge based systems,learning (artificial intelligence),real-time systems,NP-hard real-time assignment problem,heterogeneous processors,learning fuzzy production system,real-time preemptible tasks,time constraints
Computer science,Fuzzy logic,Knowledge-based systems,Real-time computing,Fuzzy set,Assignment problem,Local area network,Fuzzy control system,Processor scheduling,Distributed computing,Computational complexity theory
Conference
ISSN
ISBN
Citations 
1068-3070
0-8186-7496-2
2
PageRank 
References 
Authors
0.39
4
4
Name
Order
Citations
PageRank
Javier Orozco120.39
Ricardo Cayssials220.39
Jorge Santos3153.38
Edgardo Ferro473.64