Functional Dependency and Degeneracy: Detailed Analysis of the GAuGE System

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@InProceedings{nicolau:2003:EA,

• author = "Miguel Nicolau and Anne Auger and Conor Ryan",
• title = "Functional Dependency and Degeneracy: Detailed Analysis of the {GAuGE} System",
• booktitle = "Evolution Artificielle, 6th International Conference",
• year = "2003",
• editor = "Pierre Liardet and Pierre Collet and Cyril Fonlupt and Evelyne Lutton and Marc Schoenauer",
• volume = "2936",
• series = "Lecture Notes in Computer Science",
• pages = "15--26",
• address = "Marseilles, France",
• month = "27-30 " # oct,
• publisher = "Springer",
• note = "Revised Selected Papers",
• keywords = "genetic algorithms, genetic programming, grammatical evolution, Artificial Evolution",
• ISBN = "3-540-21523-9",
• DOI = "doi:10.1007/b96080",
• DOI = "doi:10.1007/978-3-540-24621-3_2",
• abstract = "We explore the mapping process of the GAuGE system, a recently introduced position-independent genetic algorithm, that encodes both the positions and the values of individuals at the genotypic level. A mathematical formalisation of its mapping process is presented, and is used to characterise the functional dependency feature of the system. An analysis of the effect of degeneracy in this functional dependency is then performed, and a mathematical theorem is given, showing that the introduction of degeneracy reduces the position specification bias of individuals. Experimental results are given, that backup these findings.",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• notes = "EA'03",

}

Genetic Programming entries for Miguel Nicolau Anne Auger Conor Ryan

Citations