On Area Minimization of Complex Combinational Circuits Using Cartesian Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{Vasicek:2012:CEC,

• title = "On Area Minimization of Complex Combinational Circuits Using Cartesian Genetic Programming",
• author = "Zdenek Vasicek and Lukas Sekanina",
• pages = "825--832",
• booktitle = "Proceedings of the 2012 IEEE Congress on Evolutionary Computation",
• year = "2012",
• editor = "Xiaodong Li",
• month = "10-15 " # jun,
• DOI = "doi:10.1109/CEC.2012.6256649",
• address = "Brisbane, Australia",
• ISBN = "0-7803-8515-2",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming, Evolvable hardware and software",
• abstract = "The paper deals with the evolutionary post synthesis optimization of complex combinational circuits with the aim of reducing the area on a chip as much as possible. In order to optimise complex circuits, Cartesian Genetic Programming (CGP) is employed where the fitness function is based on a formal equivalence checking algorithm rather than evaluating all possible input assignments. The standard selection strategy of CGP is modified to be more explorative and so agile in very rugged fitness landscapes. It was shown on the LGSynth93 benchmark circuits that the modified selection strategy leads to more compact circuits in roughly 50percent cases. The average area improvement is 24percent with respect to the results of conventional synthesis. Delay of optimised circuits was also analysed.",
• notes = "WCCI 2012. CEC 2012 - A joint meeting of the IEEE, the EPS and the IET.",

}

Genetic Programming entries for Zdenek Vasicek Lukas Sekanina

Citations