Use of a multi-objective fitness function to improve cartesian genetic programming circuits

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Hilder:2010:AHS,

• author = "James Hilder and James A. Walker and Andy Tyrrell",
• title = "Use of a multi-objective fitness function to improve cartesian genetic programming circuits",
• booktitle = "2010 NASA/ESA Conference on Adaptive Hardware and Systems (AHS)",
• year = "2010",
• month = "15-18 " # jun,
• pages = "179--185",
• abstract = "This paper describes an approach of using a multi-objective fitness function to improve the performance of digital circuits evolved using CGP. Circuits are initially evolved for correct functionality using conventional CGP before the NSGA-II algorithm is used to extract circuits which are more efficient in terms of design complexity and delay. This approach is used to evolve typical digital-system building block circuits with results compared to standard-CGP, other evolutionary methods and conventional designs.",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming",
• DOI = "doi:10.1109/AHS.2010.5546262",
• notes = "Hex to 7-Segment Display Driver. Also known as \cite{5546262}",

}

Genetic Programming entries for James A Hilder James Alfred Walker Andrew M Tyrrell

Citations