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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 ...
Optimal contract pricing of distributed generation under a competitive framework
(2010-07-26)
A bilevel programming approach for the optimal contract pricing of distributed generation (DG) in distribution networks is presented. The outer optimization problem corresponds to the owner of the DG who must decide the ...
Optimal contract pricing of distributed generation under a competitive framework
(2010-07-26)
A bilevel programming approach for the optimal contract pricing of distributed generation (DG) in distribution networks is presented. The outer optimization problem corresponds to the owner of the DG who must decide the ...
Wireless mesh networks planning based on parameters of quality of service
(2012-06-13)
The use of QoS parameters to evaluate the quality of service in a mesh network is essential mainly when providing multimedia services. This paper proposes an algorithm for planning wireless mesh networks in order to satisfy ...
Wireless mesh networks planning based on parameters of quality of service
(2012-06-13)
The use of QoS parameters to evaluate the quality of service in a mesh network is essential mainly when providing multimedia services. This paper proposes an algorithm for planning wireless mesh networks in order to satisfy ...
Projeto E análise de uma rede neural para resolver problemas de programação dinâmica
(2001-01-01)
Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. Neural networks with ...