Now showing items 1-10 of 936
An approach for solving interval optimization problems
This work considers an optimization problem where the objective function possesses interval uncertainty in the coefficients. In this sense, first, an order relation will be defined for the interval space and, from this, ...
Dynamic optimization and its relation to classical and quantum constrained systems
We study the structure of a simple dynamic optimization problem consisting of one state and one control variable, from a physicist's point of view. By using an analogy to a physical model, we study this system in the ...
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 ...
The use of possibility theory in the definition of fuzzy Pareto-optimality
(SpringerNew YorkEUA, 2011)
A mixed-integer LP model for the reconfiguration of radial electric distribution systems considering distributed generation
The problem of reconfiguration of distribution systems considering the presence of distributed generation is modeled as a mixed-integer linear programming (MILP) problem in this paper. The demands of the electric distribution ...
Comparative analysis of strut-and-tie models using Smooth Evolutionary Structural Optimization
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 ...
On the solution of mathematical programming problems with equilibrium constraints
Mathematical programming problems with equilibrium constraints (MPEC) are nonlinear programming problems where the constraints have a form that is analogous to first-order optimality conditions of constrained optimization. ...