Abstract
The evolutionary algorithms can be considered as a powerful and interesting technique for solving large kinds of control problems. However, the great disadvantage of the evolutionary algorithms is the great computational cost. So, the objective of this work is the parallel processing of evolutionary algorithms on a general-purpose architecture (cluster of workstations), programmed with a simple and very well-know technique such as message passing.
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Parrilla, M., Aranda, J., Dormido-Canto, S. (2005). Parallel Evolutionary Computation: Application of an EA to Controller Design. In: Mira, J., Álvarez, J.R. (eds) Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach. IWINAC 2005. Lecture Notes in Computer Science, vol 3562. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499305_16
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DOI: https://doi.org/10.1007/11499305_16
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