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An empirical study of permutational genetic crossover and mutation operators on the fixed priority assignment in distributed real-time systems

Title
An empirical study of permutational genetic crossover and mutation operators on the fixed priority assignment in distributed real-time systems
Type
Article in International Conference Proceedings Book
Year
2012
Authors
Azketa, E
(Author)
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Uribe, JP
(Author)
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Marcos, M
(Author)
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Javier Gutierrez, JJ
(Author)
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Conference proceedings International
Pages: 598-605
2012 IEEE International Conference on Industrial Technology, ICIT 2012
Athens, 19 March 2012 through 21 March 2012
Other information
Authenticus ID: P-008-4YD
Abstract (EN): The assignment of fixed priorities to tasks and messages in distributed real-time systems is known to be an NP-hard problem, so there is no optimal method to accomplish it in polynomial time. Several generic search and optimization methods have been proposed in the literature for the priority-based scheduling of distributed real-time systems. The permutational genetic algorithm is one of those techniques that has shown a notable ability to solve this problem. The success of a genetic algorithm is greatly influenced by the used crossover and mutation operators, whose performance may vary between different problems. In this paper we make an introduction of some crossover and mutation operators for permutational genetic algorithms and make an experimental analysis of their performance in the assignment of fixed priorities to tasks and messages in distributed real-time systems.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 8
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Permutational genetic algorithm for the optimized assignment of priorities to tasks and messages in distributed real-time systems (2011)
Article in International Conference Proceedings Book
Azketa, E; Uribe, JP; Marcos, M; Luis Almeida; Javier Gutierrez, JJ
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