Circuit Approximation Using Single and Multi-Objective Cartesian GP

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

@InProceedings{Vasicek:2015:EuroGP,

• author = "Zdenek Vasicek and Lukas Sekanina",
• title = "Circuit Approximation Using Single and Multi-Objective {Cartesian GP}",
• booktitle = "18th European Conference on Genetic Programming",
• year = "2015",
• editor = "Penousal Machado and Malcolm I. Heywood and James McDermott and Mauro Castelli and Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim",
• series = "LNCS",
• volume = "9025",
• publisher = "Springer",
• pages = "217--229",
• address = "Copenhagen",
• month = "8-10 " # apr,
• organisation = "EvoStar",
• keywords = "genetic algorithms, genetic programming, Cartesian genetic programming, Evolutionary design, Approximate computing, Approximate circuits, Multi-objective approach: Poster",
• isbn13 = "978-3-319-16500-4",
• DOI = "doi:10.1007/978-3-319-16501-1_18",
• abstract = "In this paper, the approximate circuit design problem is formulated as a multi-objective optimisation problem in which the circuit error and power consumption are conflicting design objectives. We compare multi-objective and single-objective Cartesian genetic programming in the task of parallel adder and multiplier approximation. It is analysed how the setting of the methods, formulating the problem as multi-objective or single-objective, and constraining the execution time can influence the quality of results. One of the conclusions is that the multi-objective approach is useful if the number of allowed evaluations is low. When more time is available, the single-objective approach becomes more efficient.",
• notes = "Part of \cite{Machado:2015:GP} EuroGP'2015 held in conjunction with EvoCOP2015, EvoMusArt2015 and EvoApplications2015",

}

Genetic Programming entries for Zdenek Vasicek Lukas Sekanina

Citations