A study on the implementation of social data mining to improve results in bioinspired intelligent systems using generation of clusters, associative rules; decision trees, associated models, dioramas and multivariable analysis for obtain knowledge about any issue related with a topic.
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In this chapter pattern recognition methodologies for the study of the load time series were presented. Specifically, the first methodology deals with the classification of the daily chronological load curves of each large electricity customer, in order to estimate his typical days and his...
During last 25 years multi-objective optimization has been in the limelight of researchers. Because of practical importance and applications of multi-objective optimization as the most natural way of decision making and real-life optimizing method--growing interests of researchers in this very...
A study on constrained simulated annealing (CSA) and constraintpartitione simulated annealing (CPSA), two dynamic-penalty methods for finding constrained global minima of discrete constrained optimization problems based on the theory of extended saddle points (ESPs).