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Forecasting and forecast-combining of quarterly earnings-per-share via genetic programming
(Universidad de Chile. Facultad de Economía y Negocios, 2008)
In this study we examine different methodologies to estimate
earnings. More specifically, we evaluate the viability of Genetic
Programming as both a forecasting model estimator and a forecastcombining
methodology. When ...
An enhanced genetic algorithm to solve the static and multistage transmission network expansion planning
(2012-04-23)
An enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion planning (LTTEP) problem. The following characteristics of the proposed EGA to solve the static and multistage LTTEP problem are ...
An enhanced genetic algorithm to solve the static and multistage transmission network expansion planning
(2012-04-23)
An enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion planning (LTTEP) problem. The following characteristics of the proposed EGA to solve the static and multistage LTTEP problem are ...
International triticeae mapping initiative workshop, 21.
(CIMMYT, 2012)
A specialized genetic algorithm to solve the short term transmission network expansion planning
(2009-12-01)
In this paper, the short term transmission network expansion planning (STTNEP) is solved through a specialized genetic algorithm (SGA). A complete AC model of the transmission network is used, which permits the formulation ...
A specialized genetic algorithm to solve the short term transmission network expansion planning
(2009-12-01)
In this paper, the short term transmission network expansion planning (STTNEP) is solved through a specialized genetic algorithm (SGA). A complete AC model of the transmission network is used, which permits the formulation ...
Feature Selection Using Geometric Semantic Genetic Programming
(Assoc Computing Machinery, 2017-01-01)
Feature selection concerns the task of finding the subset of features that are most relevant to some specific problem in the context of machine learning. During the last years, the problem of feature selection has been ...