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CUMDANCAUChY-C1: A cellular EDA designed to solve the energy resource management problem under uncertainty

Abstract:

One step in the way to sustainable cities and society is the massive growth of electric vehicles and producers of renewable energy (RE) like sun and wind. But these advances are a challenge in the more efficient management of energy due to the uncertainty that they incorporate into the problem. In this paper, a Cellular Estimation Distribution algorithm (CUMDANCauchy-C1) is designed to Solve the Energy Resource Management Problem Under Uncertainty. CUMDANCauchy-C1 is a cellular evolutionary algorithm with univariate estimation and neighborhood One, which learn a combination of Normal and Cauchy distributions from the global population to generate the new individuals. The framework developed for the "2019 Evolutionary Computation in Uncertain Environments: A Smart Grid Application" was used to test the proposed algorithm. Also a comparison, in the current competition framework, with the winners algorithms of the 2018 edition was done . The experimental results showed that CUMDANCauchy-C1 outperforms the winners algorithms of the 2018 edition.