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ICML
1998
IEEE

Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach

11 years 5 months ago
Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach
Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions. It has been shown that GP can bene t from domain knowledge obtained by other machine learning methods with more powerful heuristics. However, it is not obvious that a combination of GP and a knowledge intensive machine learning method can work better than the knowledge intensive method alone. In this paper we present a multi-strategy approach where an analytical and inductive approach (hamlet) and an evolutionary technique based on GP (EvoCK) are combined for the task of learning control rules for problem solving in planning. Results show that both methods complement each other, supplying to the other method what the other method lacks and obtaining better results than using each method alone.
Ricardo Aler, Daniel Borrajo, Pedro Isasi
Added 17 Nov 2009
Updated 17 Nov 2009
Type Conference
Year 1998
Where ICML
Authors Ricardo Aler, Daniel Borrajo, Pedro Isasi
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