| dc.creator | Arroyo, José Elias Claudio | |
| dc.creator | Pereira, Ana Amélia de Souza | |
| dc.date | 2018-08-30T17:08:03Z | |
| dc.date | 2018-08-30T17:08:03Z | |
| dc.date | 2011-07 | |
| dc.date.accessioned | 2023-09-27T22:10:31Z | |
| dc.date.available | 2023-09-27T22:10:31Z | |
| dc.identifier | 14333015 | |
| dc.identifier | https://doi.org/10.1007/s00170-010-3100-x | |
| dc.identifier | http://www.locus.ufv.br/handle/123456789/21547 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8971696 | |
| dc.description | This paper presents a multi-objective greedy randomized adaptive search procedure (GRASP)-based heuristic for solving the permutation flowshop scheduling problem in order to minimize two and three objectives simultaneously: (1) makespan and maximum tardiness; (2) makespan, maximum tardiness, and total flowtime. GRASP is a competitive metaheuristic for solving combinatorial optimization problems. We have customized the basic concepts of GRASP algorithm to solve a multi-objective problem and a new algorithm named multi-objective GRASP algorithm is proposed. In order to find a variety of non-dominated solutions, the heuristic blends two typical approaches used in multi-objective optimization: scalarizing functions and Pareto dominance. For instances involving two machines, the heuristic is compared with a bi-objective branch-and-bound algorithm proposed in the literature. For instances involving up to 80 jobs and 20 machines, the non-dominated solutions obtained by the heuristic are compared with solutions obtained by multi-objective genetic algorithms from the literature. Computational results indicate that GRASP is a promising approach for multi-objective optimization. | |
| dc.format | pdf | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.publisher | The International Journal of Advanced Manufacturing Technology | |
| dc.relation | v. 55, n. 5– 8, p. 741– 753, july 2011 | |
| dc.rights | Springer-Verlag London Limited | |
| dc.subject | Flowshop scheduling | |
| dc.subject | Multi-objective combinatorial optimization | |
| dc.subject | Heuristics | |
| dc.subject | GRASP | |
| dc.title | A GRASP heuristic for the multi-objective permutation flowshop scheduling problem | |
| dc.type | Artigo | |
