Name
Title | ||
|---|---|---|
Integrality gap minimization heuristics for binary mixed integer nonlinear programming. |
Abstract | ||
|---|---|---|
We present two feasibility heuristics for binary mixed integer nonlinear programming. Called integrality gap minimization algorithm (IGMA)—versions 1 and 2, our heuristics are based on the solution of integrality gap minimization problems with a space partitioning scheme defined over the integer variables of the problem addressed. Computational results on a set of benchmark instances show that the proposed approaches present satisfactory results. |
Year | DOI | Venue |
|---|---|---|
2018 | https://doi.org/10.1007/s10898-018-0623-4 | J. Global Optimization |
Keywords | Field | DocType |
Binary mixed integer nonlinear programming,Heuristics,Integrality gap minimization,Solver | Integer,Space partitioning,Mathematical optimization,Minification,Heuristics,Nonlinear mixed integer programming,Solver,Minimization algorithm,Mathematics,Binary number | Journal |
Volume | Issue | ISSN |
71 | 3 | 0925-5001 |
Citations | PageRank | References |
3 | 0.40 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wendel Melo | 1 | 13 | 3.02 |
| Marcia Fampa | 2 | 58 | 11.69 |
| Fernanda M. P. Raupp | 3 | 29 | 5.35 |