- author = "Zdenek Vasicek and Karel Slany",
- title = "Efficient Phenotype Evaluation in Cartesian Genetic Programming",
- booktitle = "Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012",
- year = "2012",
- month = "11-13 " # apr,
- editor = "Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta",
- series = "LNCS",
- volume = "7244",
- publisher = "Springer Verlag",
- address = "Malaga, Spain",
- pages = "266--278",
- organisation = "EvoStar",
- isbn13 = "978-3-642-29138-8",
-
URL = "
https://www.fit.vut.cz/research/publication/10045",
-
DOI = "
doi:10.1007/978-3-642-29139-5_23",
-
code_url = "http://www.fit.vutbr.cz/~vasicek/cgp/",
-
code_url = "http://www.fit.vutbr.cz/~vasicek/cgp/?pg=accel",
- size = "13 pages",
- keywords = "genetic algorithms, genetic programming, cartesian genetic programming, Fitness evaluation, Acceleration, Symbolic regression, machine code, evalfunc, AMD64 CPU, mprotect, Machine Code Vectorization, SIMD, SSE",
- abstract = "This paper describes an efficient acceleration technique designed to speedup the evaluation of candidate solutions in Cartesian Genetic Programming (CGP). The method is based on translation of the CGP phenotype to a binary machine code that is consequently executed. The key feature of the presented approach is that the introduction of the translation mechanism into common fitness evaluation procedure requires only marginal knowledge of target CPU instruction set. The proposed acceleration technique is evaluated using a symbolic regression problem in floating point domain. It is shown that for a cost of small changes in a common CGP implementation, a significant speedup can be obtained even on a common desktop CPU. The accelerated version of CGP implementation accompanied with performance analysis is available for free download from http://www.fit.vutbr.cz/~vasicek/cgp",
-
notes = "SSE 128 bit, ie not AVX
Also known as \cite{FITPUB10045}
Part of \cite{Moraglio:2012:GP} EuroGP'2012 held in conjunction with EvoCOP2012 EvoBIO2012, EvoMusArt2012 and EvoApplications2012",
