Introduction
This chapter addresses the modeling and development of the modules that use distributed processing systems so as to achieve a high performance in processes for the optimization of alternatives [1] [2] [3] (GA, CA, Cooperative Coevolution Algorithm, Schedule Optimization), for distributed simulations of “random” alternatives, for case simulations and for distributed Monte Carlo simulations.
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Valdivia, Y.J.T., Lazo, J.G.L., Posternak, D. (2009). High-Performance Processing for E&P. In: Pacheco, M.A.C., Vellasco, M.M.B.R. (eds) Intelligent Systems in Oil Field Development under Uncertainty. Studies in Computational Intelligence, vol 183. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93000-6_7
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