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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 ...
Partial spectral projected gradient method with active-set strategy for linearly constrained optimization
(SPRINGER, 2010)
A method for linearly constrained optimization which modifies and generalizes recent box-constraint optimization algorithms is introduced. The new algorithm is based on a relaxed form of Spectral Projected Gradient iterations. ...
Optimal charging of electric vehicles considering constraints of the medium voltage distribution network
(2013-08-26)
The scope of this work is to optimize the charging of electric vehicles (EVs) in a controlled environment. The method uses a linear optimization technique, which determines the electrical power that will be delivered to ...
KT-invexity in optimal control problems
(Pergamon-Elsevier B.V. Ltd, 2009-11-15)
We extend the notion of KT-invexity from mathematical programming to the classical optimal control problem and show that this generalized invexity property is not only a sufficient condition of optimality for KT-processes ...
Statistical Simplex Method for Experimental Design in Process Optimization
(American Chemical Society, 2005-11)
Experimental optimization with scarce and noisy process data is a key issue in laboratory automation for faster chemical process research and development, real-time process optimization, and the ability to embed a learning ...
A primal–dual penalty-interior-point method for solving the reactive optimal power flow problem with discrete control variables
(2022-06-01)
The Optimal Reactive Power Flow (ORPF) problem has been used as an important computational tool for power system planning and operation. Its mixed-discrete version (DORPF) is formulated as a non-convex, non-linear optimization ...
A note on the theoretical convergence properties of the SIMP method
(SpringerNew YorkEUA, 2005)
Using the Firefly Optimization Method to Solve the Weighted Set Covering Problem
(Springer Verlag, 2014)