Genetic Programming for Discrimination of Buried Unexploded Ordnance (UXO)

Created by W.Langdon from gp-bibliography.bib Revision:1.8219

@InProceedings{Banks:gecco05lbp,

• author = "Edwin Roger Banks and Edwin Nunez and Paul Agarwal and Claudette Owens and Marshall McBride and Ron Liedel",
• title = "Genetic Programming for Discrimination of Buried Unexploded Ordnance (UXO)",
• booktitle = "Late breaking paper at Genetic and Evolutionary Computation Conference {(GECCO'2005)}",
• year = "2005",
• month = "25-29 " # jun,
• editor = "Franz Rothlauf",
• address = "Washington, D.C., USA",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2005lbp/papers/66-banks.pdf",
• keywords = "genetic algorithms, genetic programming",
• abstract = "According to the Department of Defense, over 10 million acres of land in the US need to be cleared of buried unexploded ordnance (UXO). Worldwide, UXO injures thousands each year. Cleanup costs are prohibitively expensive due to the difficulties in discriminating buried UXO from other inert non-UXO objects. Government agencies are actively searching for improved sensor methodologies to detect and discriminate buried UXO from other objects. We describe the results of work performed on data gathered by the GeoPhex GEM-3 electromagnetic sensor during their attempts to discriminate buried UXO at the U.S. Army Jefferson Proving Ground (JPG). We used a variety of evolutionary computing (EC) approaches that included genetic programming, genetic algorithms, and decision-tree methods. All approaches were essentially formulated as regression problems whereby the EC algorithms used sensor data to evolve buried UXO discrimination chromosomes. Predictions were then compared with a ground-truth file and the number of false positives and negatives determined",
• notes = "Distributed on CD-ROM at GECCO-2005",

}

Genetic Programming entries for Edwin Roger Banks Edwin Nunez Paul Agarwal Claudette Owens Marshall McBride Ronald Liedel

Citations