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Design and analysis of an efficient neural network model for solving nonlinear optimization problems
(Taylor & Francis Ltd, 2005-10-20)
This paper presents an efficient approach based on a recurrent neural network for solving constrained nonlinear optimization. More specifically, a modified Hopfield network is developed, and its internal parameters are ...
Branch and bound algorithm for transmission network expansion planning using DC model
(2007-12-01)
This paper presents an algorithm to solve the network transmission system expansion planning problem using the DC model which is a mixed non-linear integer programming problem. The major feature of this work is the use of ...
Branch and bound algorithm for transmission network expansion planning using DC model
(2007-12-01)
This paper presents an algorithm to solve the network transmission system expansion planning problem using the DC model which is a mixed non-linear integer programming problem. The major feature of this work is the use of ...
AC OPF for smart distribution networks: An efficient and robust quadratic approach
(2018-09-01)
Smart grid schemes in which multiple network elements and participants are managed for the benefit of the distribution network (e.g., energy loss reduction, restoration, etc.) require sophisticated algorithms to control ...
Recurrent neural networks with fixed time convergence for linear and quadratic programming
(Institute of Electrical and Electronics Engineers, 2016)
Recurrent neural networks with fixed time convergence for linear and quadratic programming
(Institute of Electrical and Electronics Engineers, 2016)
NCAP embedded using structured programming
(2012-07-30)
This paper presents a network node embedded based on IEEE 1451 standard developed using structured programming to access the transducers in the WTIM. The NCAP was developed using Nios II processor and uClinux, a embedded ...