| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6892691 | Computers & Operations Research | 2018 | 30 Pages |
Abstract
The lower level optimization problem is formulated as a bi-objective mixed-integer linear programming problem. A hybrid approach is proposed, which consists of a genetic algorithm for the upper level problem and an exact solver to solve surrogate scalar problems at the lower level. A case study is presented and discussed.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Maria João Alves, Carlos Henggeler Antunes,