Search
Now showing items 1-10 of 405
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 ...
Plug-In Electric Vehicle Charging Coordination in Electrical Distribution Systems Using a Tabu Search Algorithm
(Ieee, 2015-01-01)
A new methodology based on Tabu Search algorithm optimization is proposed in this paper in order to solve the plug-in electric vehicle (PEV) charging coordination (PEVCC) problem in electrical distribution systems (EDSs). ...
Plug-in electric vehicle charging coordination in electrical distribution systems using a tabu search algorithm
(2015-01-01)
A new methodology based on Tabu Search algorithm optimization is proposed in this paper in order to solve the plug-in electric vehicle (PEV) charging coordination (PEVCC) problem in electrical distribution systems (EDSs). ...
Optimizing Feature Selection through Binary Charged System Search
(Springer, 2013-01-01)
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 ...
Multilayer perceptron neural networks training through charged system search and its Application for non-technical losses detection
(2013-08-26)
The non-technical loss is not a problem with trivial solution or regional character and its minimization represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive ...
Multilayer perceptron neural networks training through charged system search and its Application for non-technical losses detection
(2013-08-26)
The non-technical loss is not a problem with trivial solution or regional character and its minimization represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive ...
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 ...
GRASP Algorithm for Charging Coordination of Plug-In Electric Vehicles in Electrical Distribution Systems
(Ieee, 2016-01-01)
A new methodology, based on the GRASP (Greedy Random Adaptative Search Procedure) metaheuristic is proposed in this paper in order to solve the plug-in electric vehicle (PEV) charging coordination problem in electrical ...
GRASP algorithm for charging coordination of plug-in electric vehicles in electrical distribution systems
(2017-01-04)
A new methodology based on the GRASP (Greedy Random Adaptative Search Procedure) metaheuristic is proposed in this paper in order to solve the plug-in electric vehicle (PEV) charging coordination problem in electrical ...