JEB: Java Evolutionary Byte-code -- Implementation and Tests

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Misc{oai:CiteSeerXPSU:10.1.1.147.1233,

• title = "JEB: Java Evolutionary Byte-code -- Implementation and Tests",
• author = "Fabien Servant and Denis Robilliard and Cyril Fonlupt",
• howpublished = "citeseerx",
• year = "2005",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www-lil.univ-littoral.fr/~robillia/Publis/05_jeb.ps.gz",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.1233",
• size = "12 pages",
• abstract = "Byte-code Genetic Programming systems have shown their efficiency with the commercial package Discipulus, from Nordin et al., proving that linear machine code can be successfully evolved, with a gain in speed of at least an order of magnitude. This concept has been transposed to several hardwares or low level languages, including byte-code for the Java virtual machine but no such system was widely available up to now. This paper proposes on an open-source Java byte-code extension for the ECJ library, called JEB for Java Evolutionary Byte-code. We detail the implementation choices that were made to deal notably with the stackbased particularities of the virtual machine. We perform some classic benchmarks to demonstrate the capabilities of JEB and we also point at some open questions about stack-based code evolution.",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• contributor = "CiteSeerX",
• language = "en",
• oai = "oai:CiteSeerXPSU:10.1.1.147.1233",
• notes = "Claims to have been presented as a poster at Evolution Artificielle, EA 2005, in Lille but does not appear in proceedings",

}

Genetic Programming entries for Fabien Servant Denis Robilliard Cyril Fonlupt

Citations