Numerical and real time analysis of parallel distributed GAs with structured and panmictic populations

Parallel genetic algorithms (PGAs) have been traditionally used to overcome the intense use of CPU and memory that serial GAs need to solve complex problems. Non-parallel GAs can be classified into two classes: panmictic and structured-population algorithms. The difference relies on whether any indi...

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Bibliographic Details

Published in:	Proceedings of the 1999 Congress on Evolutionary Computation, CEC99 : July 6-9, 1999, Mayflower Hotel, Washington, D.C., USA Vol. 2; pp. 1019 - 1026 Vol. 2
Main Authors:	Alba, E., Cotta, C., Troya, J.M.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 1999
Subjects:	Electronics packaging Frequency Genetic algorithms Hardware Machine learning Optimization methods Parallel machines Search methods Steady-state Stochastic processes
ISBN:	0780355369, 9780780355361
Online Access:	Get full text
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