A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning

Created by W.Langdon from gp-bibliography.bib Revision:1.8098

@InProceedings{conf/hais/ZafraV09,

• title = "A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning",
• author = "Amelia Zafra and Sebastian Ventura",
• booktitle = "Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2009",
• year = "2009",
• editor = "Emilio Corchado and Xindong Wu and Erkki Oja and {\'A}lvaro Herrero and Bruno Baruque",
• volume = "5572",
• series = "Lecture Notes in Computer Science",
• pages = "450--458",
• address = "Salamanca, Spain",
• month = jun # " 10-12",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-642-02318-7",
• DOI = "doi:10.1007/978-3-642-02319-4_54",
• bibdate = "2009-06-24",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/hais/hais2009.html#ZafraV09",
• abstract = "This paper develops a first comparative study of multiobjective algorithms in Multiple Instance Learning (MIL) applications. These algorithms use grammar-guided genetic programming, a robust classification paradigm which is able to generate understandable rules that are adapted to work with the MIL framework. The algorithms obtained are based on the most widely used and compared multi-objective evolutionary algorithms. Thus, we design and implement SPG3P-MI based on the Strength Pareto Evolutionary Algorithm, NSG3P-MI based on the Non-dominated Sorting Genetic Algorithm and MOGLG3P-MI based on the Multi-objective genetic local search. These approaches are tested with different MIL applications and compared to a previous singleobjective grammar-guided genetic programming proposal. The results demonstrate the excellent performance of multi-objective approaches in achieving accurate models and their ability to generate comprehensive rules in the knowledgable discovery process.",

}

Genetic Programming entries for Amelia Zafra Gomez Sebastian Ventura

Citations