| Grolimund, S., & Ganascia, J.-L. (1995). Integrating case-based reasoning and tabu search for solving optimisation problems. Proceedings of the First International Conference on Case-Based Reasoning (pp. 451--460). Sesimbra, Portugal: Springer. |
....are nodes in a tree structured hierarchy and similarity is a function of hierarchy distance. Learning involves modifying counts indicating whether operators were successfully applied, and associating an operator for each expression. Horn clauses have also been used to represent cases. Grolimund and Ganascia (1995) used them for an optimization task. Their learning algorithm stores and reuses operator selection experience during a tabu search. RIBL (Emde Wettschereck, 1996) a first order classifier, instead constructs cases from multirelational data and computes the similarities between arbitrarily ....
Grolimund, S., & Ganascia, J.-L. (1995). Integrating case-based reasoning and tabu search for solving optimisation problems. Proceedings of the First International Conference on Case-Based Reasoning (pp. 451--460). Sesimbra, Portugal: Springer.
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Grolimund, S., & Ganascia, J.-L. (1995). Integrating case-based reasoning and tabu search for solving optimisation problems. Proceedings of the First International Conference on CaseBased Reasoning (pp. 451--460). Sesimbra, Portugal: Springer-Verlag.
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