Improving the Evolvability of Digital Multipliers Using Embedded Cartesian Genetic Programming and Product Reduction

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{conf/ices/WalkerM05,

• title = "Improving the Evolvability of Digital Multipliers Using Embedded Cartesian Genetic Programming and Product Reduction",
• author = "James Alfred Walker and Julian Francis Miller",
• year = "2005",
• pages = "131--142",
• editor = "Juan Manuel Moreno and Jordi Madrenas and Jordi Cosp",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "3637",
• booktitle = "Evolvable Systems: From Biology to Hardware, 6th International Conference, ICES 2005, Proceedings",
• address = "Sitges, Spain",
• month = sep # " 12-14",
• bibdate = "2005-10-26",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/ices/ices2005.html#WalkerM05",
• keywords = "genetic algorithms, genetic programming, Cartesian Genetic Programming",
• ISBN = "3-540-28736-1",
• DOI = "doi:10.1007/11549703_13",
• size = "12 pages",
• abstract = "Embedded Cartesian Genetic Programming (ECGP) is a form of Genetic Programming based on an acyclic directed graph representation. We investigate the use of ECGP together with a technique called Product Reduction (PR) to reduce the time required to evolve a digital multiplier. The results are compared with Cartesian Genetic Programming (CGP) with and without PR and show that ECGP improves evolvability and also that PR improves the performance of both techniques by up to eight times on the digital multiplier problems tested.",

}

Genetic Programming entries for James Alfred Walker Julian F Miller

Citations