DocumentCode
3696068
Title
Ant-FOIL: Integrating Ant Colony System and FOIL
Author
Chenyang Yan
Author_Institution
Ningbo City Coll. of Vocational Technol., Ningbo, China
Volume
1
fYear
2015
Firstpage
559
Lastpage
562
Abstract
A novel and simple combination of inductive logic programming with swarm intelligence is presented. The Ant-FOIL tightly integrates the well-known inductive logic programming rule-learner FOIL with Ant Colony System meta-heuristic. The hypotheses construction is guided by the ACS stochastic local decision policy depends on pheromone and heuristic information. Experiments in applying Ant-FOIL to well-known benchmarks shows that Ant-FOIL performs better than either its baseline algorithm (FOIL), and is at the same time competitive with more sophisticated approaches (kFOIL, nFOIL and Aleph).
Keywords
"Lattices","Accuracy","Prediction algorithms","Logic programming","Benchmark testing","Alzheimer´s disease","Cities and towns"
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2015 7th International Conference on
Print_ISBN
978-1-4799-8645-3
Type
conf
DOI
10.1109/IHMSC.2015.20
Filename
7334769
Link To Document