Hiperheuristica basada en razonamiento con dominio en metaheuristicas x-pso multiobjetivo hy x-fpso cbr. aplicación sobre una optimización dinámica posibilística
Keywords:
optimization, particles swarm, hyperheuristics, artificial neural network, electric distribution systemAbstract
In this work the Hyperheuristic HY X-PSO CBR, supporting a Possibilistc Dynamic Optimization corresponding to the Electric Distribution System (EDS) Planning in the Mid/Short Term, is applied.
The problem to solve is the definition/identification of States Space for the evolution of EDS, knowing the number of stages, corresponding with each of years of Regulatory Control Period. The Artificial Backpropagation Neural Network, that support the Selection/Learning Method to choice, in certain decision instance, the X-FPSO form in Metaheuristics domain of proposed Hyperheuristic, is Designed an Trained. The results are used in the Dynamic Possibilistic Model and a simulation on a real EDS, as Study Case, is performed. The Hyperheuristic results and States Space defined by mean inspection for optimizations performed on the same real EDS, are compared.
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References
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