Artículos de revistas
Constrained Optimization With Integer And Continuous Variables Using Inexact Restoration And Projected Gradients
Registro en:
Bulletin Of Computational Applied Mathematics. Univ Simon Bolivar, v. 4, p. 55 - 70, 2016.
2244-8659
WOS:000390044700004
Autor
Birgin
Ernesto G.; Lobato
Rafael D.; Martinez
Jose Mario
Institución
Resumen
Inexact restoration (IR) is a well established technique for continuous minimization problems with constraints that can be applied to constrained optimization problems with specific structures. When some variables are restricted to be integer, an IR strategy seems to be appropriate. The IR strategy employs a restoration procedure in which one solves a standard nonlinear programming problem and an optimization procedure in which the constraints are linearized and techniques for mixed-integer (linear or quadratic) programming can be employed. 4 2 55 70