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Archive-Based Pheromone Model for Discovering Regression Rules with Ant Colony Optimization

Ayah Helal, James Brookhouse, Fernando E. B. Otero
2018 2018 IEEE Congress on Evolutionary Computation (CEC)  
In this paper we introduce a new algorithm, called Ant-Miner-RegMA to tackle the regression problem using an archive-based pheromone model. Existing regression algorithms handle continuous attribute using a discretisation procedure, either in a preprocessing stage or during rule creation. Using an archive as a pheromone model, inspired by the ACO for Mixed-Variable (ACOMV), we eliminate the need for a discretisation procedure. We compare the proposed Ant-Miner-RegMA against Ant-Miner-Reg, an
more » ... nt-Miner-Reg, an ACO-based regression algorithm that uses a dynamic discretisation procedure, inspired on M5 algorithm, during rule construction process. Our results show that Ant-Miner-RegMA achieved a significant improvement in the relative root mean square error of the models created, overcoming the limitations of the dynamic discretisation procedure.
doi:10.1109/cec.2018.8477643 dblp:conf/cec/HelalBO18 fatcat:ick5urgluzgj3ftdpxus7hh5ci