DocumentCode :
3267348
Title :
An overview of a symbiotic coalition: evolutionary algorithms and distributed systems
Author :
Esquivel, S. ; Leguizamon, G. ; Ochoa, C. ; Gallard, R.
Author_Institution :
Grupo de Interes en Sistemas de Comput., Univ. Nacional de San Luis, Argentina
fYear :
35765
fDate :
8-10 Dec1997
Firstpage :
550
Lastpage :
556
Abstract :
Evolutionary algorithms (EAs) and distributed systems (DSs) can mutually take profit from their inherent properties. EAs can offer an efficient method to solve satisfactorily hard DSs problems by providing a number of feasible and quasi-optimal solutions. DSs are flexible enough to supply a suitable support for high performance EA implementations. This paper shows some insights for two applications of EAs solving distinct DSs problems and an implementation to support parallel processing of EAs in a distributed environment
Keywords :
distributed algorithms; genetic algorithms; problem solving; distributed environment; distributed systems; evolutionary algorithms; high performance implementations; parallel processing; problem solving; quasi-optimal solutions; Application software; Availability; Computer network management; Costs; Decision support systems; Distributed computing; Evolutionary computation; Parallel processing; Symbiosis; Workstations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Systems, 1997. IIS '97. Proceedings
Conference_Location :
Grand Bahama Island
Print_ISBN :
0-8186-8218-3
Type :
conf
DOI :
10.1109/IIS.1997.645388
Filename :
645388
Link To Document :
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