Abstract
An approach lo the solution of large-scale nonlinear programming problems with integer restrictions on some of the variables is described. The method is based on the MINOS large-scale optimization algorithm and involves adjustment of the superbasic variables in integer steps. The direct-search procedure commences from a continuous (relaxed) optimal solution and seeks the nearest integer-feasible solution in terms of objective function value. Computational experience on a wide variety of nonlinear problems is reported.
Original language | English |
---|---|
Pages (from-to) | 171-189 |
Number of pages | 19 |
Journal | Optimization Methods and Software |
Volume | 4 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1994 |
Keywords
- Direct search
- Large-scale optimization
- Nonlinear integer programming
- Optimization software