INVESTIGADORES
FRUTOS Mariano
congresos y reuniones científicas
Título:
EVOLUTIONARY TECHNIQUES IN MULTI-OBJECTIVE OPTIMIZATION PROBLEMS IN LARGE-SCALE INDUSTRIAL ENVIRONMENTS
Autor/es:
MARIANO FRUTOS
Lugar:
El Fuerte
Reunión:
Jornada; XIV Escuela Latino-americana de Verano de Investigación de Operaciones; 2009
Institución organizadora:
ALIO - Asociación Latino-Iberoamericana de Investigación Operativa
Resumen:
The Job-Shop Scheduling Problem (JSSP) is that of sequencing different tasks, each one involving a series of operations, on several machines in a production process, satisfying a family of constraints. We postulate a Hybrid Genetic Algorithm (HGA) that ranks the sub-problems and selects critical machines. Besides, the HGA orders the genetic operators used in the process according to their contribution. The solutions that this method yields for the JSSP can be favorably compared, in terms of the Pareto frontiers obtained, to those obtained through other meta-heuristics.
