BECAS
CAMARGO Federico Gabriel
congresos y reuniones científicas
Título:
A Softcomputing Dynamic Optimization Model
Autor/es:
SCHWEICKARDT GUSTAVO; CAMARGO FEDERICO; CASANOVA CARLOS
Lugar:
Coahuila
Reunión:
Congreso; Virtual Scientific Meeting Eureka 2016; 2016
Institución organizadora:
Eureka Iberoamerica
Resumen:
The concept of Economically Adapted Distribution System, is based on the Neo-Classic Economics Paradigm. It is related only to the productive efficiency, which implies the expansion and operation of system with a minimum cost. It ignores the uncertainties, or it renders them a stochastic nature, which they do not necessarily show to have. In this work, a model to evaluate the De-adaptation System degree, in the regulatory control periods, is presented. The model, based in Multicriteria Optimization and non stochastic incertainties, suggest a change of paradigm from the approach of Incertainty and Risk proposed by Pos-Keynesianism. A strong difference between Static Optimization respect to Non Stochastic Dynamic, proposed in the Possibilistic Model, and a complete and new theoretical development, for application in a real Case of Study, are presented as important results and conclusions of this work.