## Search

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#### An Efficient Codification to Solve Distribution **Network** Reconfiguration for Loss **Reduction** Problem

(Institute of Electrical and Electronics Engineers (IEEE), 2008-11-01)

Evolutionary algorithms have been used to try to solve distribution network reconfiguration for loss reduction problem with a certain degree of success. But some problems, specially related to a codification that is able ...

#### An Efficient Codification to Solve Distribution **Network** Reconfiguration for Loss **Reduction** Problem

(Institute of Electrical and Electronics Engineers (IEEE), 2008-11-01)

Evolutionary algorithms have been used to try to solve distribution network reconfiguration for loss reduction problem with a certain degree of success. But some problems, specially related to a codification that is able ...

#### Semi-supervised learning guided by the modularity measure in complex **networks**

(ELSEVIER SCIENCE BVAMSTERDAM, 2012)

Semi-supervised learning techniques have gained increasing attention in the machine learning community, as a result of two main factors: (1) the available data is exponentially increasing; (2) the task of data labeling is ...

#### Distribution **network** reconfiguration using an efficient evolutionary algorithm

(2007-12-01)

Network reconfiguration is an important tool to optimize the operating conditions of a distribution system. This is accomplished modifying the network structure of distribution feeders by changing the open/close status of ...

#### Distribution **network** reconfiguration using an efficient evolutionary algorithm

(2007-12-01)

Network reconfiguration is an important tool to optimize the operating conditions of a distribution system. This is accomplished modifying the network structure of distribution feeders by changing the open/close status of ...

#### An efficient codification to solve distribution **network** reconfiguration for loss **reduction** problem

(2009-12-17)

Evolutionary algorithms have been used to try to solve distribution network reconfiguration for loss reduction problem with a certain degree of success. But some problems, specially related to a codification that is able ...

#### An Efficient Codification to Solve Distribution **Network** Reconfiguration for Loss **Reduction** Problem

(Institute of Electrical and Electronics Engineers (IEEE), 2014)

#### Traffic flow breakdown prediction using feature **reduction** through Rough-Neuro fuzzy **Networks**

(2011-10-24)

The prediction of the traffic behavior could help to make decision about the routing process, as well as enables gains on effectiveness and productivity on the physical distribution. This need motivated the search for ...