A parallel implementation of a multi-objective evolutionary algorithm
AuthorKannas, Christos C.
Nicolaou, Christos A.
Pattichis, Constantinos S.
SourceFinal Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009
9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009
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Multi-objective Evolutionary Algorithms (MOEAs) have features that can be exploited to harness the processing power offered by modern multi-core CPUs. Modern programming languages offer the ability to use threads and processes in order to achieve parallelism that is inherent in multi-core CPUs. In this paper we present our Parallel implementation of a MOEA algorithm and its application to the de novo drug design problem. The results indicate that using multiple processes that execute independent tasks of a MOEA, can reduce significantly the execution time required and maintain comparable solution quality thereby achieving improved performance. ©2009 IEEE.
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