Parallel evolutionary algorithms based on shared memory programming approaches

Authors:
J. L. Redondo;I. García;P. M. Ortigosa
Affiliations:
Dpt. Computer Architecture and Electronics, University of Almería, Almeria, Spain;Dpt. Computer Architecture and Electronics, University of Almería, Almeria, Spain;Dpt. Computer Architecture and Electronics, University of Almería, Almeria, Spain
Venue:
The Journal of Supercomputing
Year:
2011

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Abstract

In this work, two parallel techniques based on shared memory programming are presented. These models are specially suitable to be applied over evolutionary algorithms. To study their performance, the algorithm UEGO (Universal Evolutionary Global Optimizer) has been chosen.