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Multiarea optimal power flow using multiobjective evolutionary algorithm
(2009-12-17)
In this work the multiarea optimal power flow (OPF) problem is decoupled into areas creating a set of regional OPF subproblems. The objective is to solve the optimal dispatch of active and reactive power for a determined ...
A bi-objetive Cat Swarm Optimization algorithm for set covering problem
(Springer Verlag, 2016)
Comparative analysis of strut-and-tie models using Smooth Evolutionary Structural Optimization
(2013-11-01)
The strut-and-tie models are widely used in certain types of structural elements in reinforced concrete and in regions with complexity of the stress state, called regions D, where the distribution of deformations in the ...
Comparative analysis of strut-and-tie models using Smooth Evolutionary Structural Optimization
(2013-11-01)
The strut-and-tie models are widely used in certain types of structural elements in reinforced concrete and in regions with complexity of the stress state, called regions D, where the distribution of deformations in the ...
Multi Objective Evolutionary Algorithm Applied to the Optimal Power Flow Problem
(Institute of Electrical and Electronics Engineers (IEEE), 2010-06-01)
This work presents the application of a multiobjective evolutionary algorithm (MOEA) for optimal power flow (OPF) solution. The OPF is modeled as a constrained nonlinear optimization problem, non-convex of large-scale, ...
Evolutionary optimization applied for fine-tuning parameter estimation in optical flow-based environments
(Ieee, 2014-01-01)
Optical flow methods are accurate algorithms for estimating the displacement and velocity fields of objects in a wide variety of applications, being their performance dependent on the configuration of a set of parameters. ...
Solving biobjective set covering problem using binary cat swarm optimization algorithm
(Springer Verlag, 2016)
Optimizing feature selection through binary charged system search
(2013-09-26)
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be inviable for a ...
Multiarea optimal power flow using multiobjective evolutionary algorithm
(2009-12-17)
In this work the multiarea optimal power flow (OPF) problem is decoupled into areas creating a set of regional OPF subproblems. The objective is to solve the optimal dispatch of active and reactive power for a determined ...