Editorial for the Special Issue on Automated Design and Assessment of Heuristic Search Methods
Résumé
Heuristic search algorithms have been successfully applied to solve many problems in practice. Their design, however, has increased in complexity as the number of parameters and choices for operators and algorithmic components is also expanding. There is clearly the need of providing the final user with automated tools to assist the tuning, design and assessment of heuristic optimisation methods.
Domaines
Intelligence artificielle [cs.AI]| Origine | Fichiers produits par l'(les) auteur(s) |
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