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Developments in Cartesian Genetic Programming: self-modifying CGP
2010
Genetic Programming and Evolvable Machines
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Self-modifying Cartesian Genetic Programming (SMCGP) is a general purpose, graph-based, developmental form of Genetic Programming founded on Cartesian Genetic Programming. ...
In addition to the usual computational functions, it includes functions that can modify the program encoded in the genotype. ...
The technique we discuss is based on Cartesian Genetic Programming (CGP), so we refer to it as self-modifying CGP (SMCGP). The representation used in SMCGP is very flexible. ...
doi:10.1007/s10710-010-9114-1
fatcat:kpfuiphf55dzrg5z3udl77zqla
Self modifying Cartesian Genetic Programming: Parity
2009
2009 IEEE Congress on Evolutionary Computation
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Self Modifying CGP (SMCGP) is a developmental form of Cartesian Genetic Programming(CGP). It differs from CGP by including primitive functions which modify the program. ...
Beginning with the evolved genotype the self-modifying functions produce a new program (phenotype) at each iteration. ...
Self modifying Cartesian Genetic Programming has a number of virtues. ...
doi:10.1109/cec.2009.4982960
dblp:conf/cec/HardingMB09
fatcat:kb2npl2sdbeklf5q5435luenre
Self-modifying cartesian genetic programming
2007
Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07
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In this paper we introduce computational development using a form of Cartesian Genetic Programming that includes self-modification operations. ...
The approaches taken have largely used re-writing, multi-cellularity, or genetic regulation. In many cases it has been difficult to produce general purpose computation from such systems. ...
SELF-MODIFYING CARTESIAN GENETIC PROGRAMMING (SMCGP)
Cartesian Genetic Programming (CGP) Cartesian Genetic Programming was originally developed by Miller and Thomson [14] for the purpose of evolving ...
doi:10.1145/1276958.1277161
dblp:conf/gecco/HardingMB07
fatcat:6voqfueanna4jelxi3kzyaqfdq
Self modifying cartesian genetic programming
2010
Proceedings of the 12th annual conference on Genetic and evolutionary computation - GECCO '10
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In this paper we introduce computational development using a form of Cartesian Genetic Programming that includes self-modification operations. ...
The approaches taken have largely used re-writing, multi-cellularity, or genetic regulation. In many cases it has been difficult to produce general purpose computation from such systems. ...
SELF-MODIFYING CARTESIAN GENETIC PROGRAMMING (SMCGP)
Cartesian Genetic Programming (CGP) Cartesian Genetic Programming was originally developed by Miller and Thomson [14] for the purpose of evolving ...
doi:10.1145/1830483.1830591
dblp:conf/gecco/HardingMB10
fatcat:36at7ffvlzgircswoukttfz2x4
Self-Modifying Cartesian Genetic Programming
[chapter]
2011
Natural Computing Series
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper we introduce computational development using a form of Cartesian Genetic Programming that includes self-modification operations. ...
The approaches taken have largely used re-writing, multi-cellularity, or genetic regulation. In many cases it has been difficult to produce general purpose computation from such systems. ...
SELF-MODIFYING CARTESIAN GENETIC PROGRAMMING (SMCGP)
Cartesian Genetic Programming (CGP) Cartesian Genetic Programming was originally developed by Miller and Thomson [14] for the purpose of evolving ...
doi:10.1007/978-3-642-17310-3_4
fatcat:ygf6pxpdkvgihelp2tdlls3ica
A Survey of Self Modifying Cartesian Genetic Programming
[chapter]
2010
Genetic Programming Theory and Practice VIII
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Self-Modifying Cartesian Genetic Programming (SMCGP) is a general purpose, graph-based, developmental form of Cartesian Genetic Programming. ...
In addition to the usual computational functions found in CGP, SMCGP includes functions that can modify the evolved program at run time. ...
Self Modifying Cartesian Genetic Programming As the name suggests, SMCGP is based on the Cartesian Genetic Programming technique. ...
doi:10.1007/978-1-4419-7747-2_6
fatcat:j557uvj5jvfu3d652hljqonqce
Self Modifying Cartesian Genetic Programming: Fibonacci, Squares, Regression and Summing
[chapter]
2009
Lecture Notes in Computer Science
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Self Modifying CGP (SMCGP) is a developmental form of Cartesian Genetic Programming(CGP). It is able to modify its own phenotype during execution of the evolved program. ...
This is done by the inclusion of modification operators in the function set. Here we present the use of the technique on several different sequence generation and regression problems. ...
Self Modifying CGP
Cartesian Genetic Programming (CGP) Cartesian Genetic Programming represents programs as directed graphs [8] . ...
doi:10.1007/978-3-642-01181-8_12
fatcat:rciv6xnqzzbpvbfwjhbpu5done
Editorial to tenth anniversary issue on progress in genetic programming and evolvable machines
2010
Genetic Programming and Evolvable Machines
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Acknowledgments We would like to thank the editor-in-chief, Lee Spector, for suggesting and supporting this special issue. ...
It is called ''Self-modifying Cartesian Genetic Programming'' (SMCGP). ...
The final article is a paper on ''Developments in Cartesian Genetic Programming'' by Simon Harding, Wolfgang Banzhaf and Julian Miller. ...
doi:10.1007/s10710-010-9115-0
fatcat:bgfdqrboljfbdghj4e4mkwkpee
Cartesian genetic programming: its status and future
2019
Genetic Programming and Evolvable Machines
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Cartesian genetic programming, a well-established method of genetic programming, is approximately 20 years old. It represents solutions to computational problems as graphs. ...
In the process, we make many suggestions for further work which could improve the efficiency of the CGP for solving computational problems. ...
distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creat iveco mmons .org/licen ses/by/4.0/), which permits unrestricted use, distribution, and reproduction in ...
doi:10.1007/s10710-019-09360-6
fatcat:vocd7cqshndefkib6nvbhu7gxa
Evolution, development and learning using self-modifying cartesian genetic programming
2009
Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO '09
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Self-Modifying Cartesian Genetic Programming (SMCGP) is a form of genetic programming that integrates developmental (self-modifying) features as a genotype-phenotype mapping. ...
SELF MODIFYING CGP
Cartesian Genetic Programming (CGP) Cartesian Genetic Programming is a graph-based representation of programs [7] . ...
Previously we proposed a developmental mapping in the context of Cartesian Genetic Programming (CGP) by introducing self-modification (SM) [3] . ...
doi:10.1145/1569901.1569998
dblp:conf/gecco/HardingMB09
fatcat:5mnfiq3gwfcmzjvrbtrkehmeoy
Introduction to Evolutionary Computation and Genetic Programming
[chapter]
2011
Natural Computing Series
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Holland proposed genetic algorithms and wrote about them in his 1975 book [19] . He emphasized the role of genetic recombination (often called 'crossover'). ...
in a random manner (ensuring small modifications were more frequent than larger ones) proved to be a very effective technique. ...
Origins of CGP Cartesian genetic programming grew from a method of evolving digital circuits developed by Miller et al. in 1997 [8] . ...
doi:10.1007/978-3-642-17310-3_1
fatcat:cvbvsuliwrgmro5ma2x5mim6na
Continuous On-line Evolution of Agent Behaviours with Cartesian Genetic Programming
[article]
2014
arXiv
pre-print
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In this paper, we present an on-line evolutionary programming algorithm that searches in the agent design space for the appropriate behavioural policies to cope with the underlying environment. ...
Evolutionary Computation has been successfully used to synthesise controllers for embodied agents and multi-agent systems in general. ...
To build our genetic programming controllers, we use representation developed for Cartesian Genetic Programming (CGP) [9] . ...
arXiv:1407.0698v1
fatcat:j7ennihu5jdh5mnz5dgxz4v3cy
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
2008
Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08
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One of the most popular models is cartesian genetic programming, which encodes an array of logic gates into a chromosome. ...
Further, we detail a cone-based crossover operator for use with cartesian genetic programming. We evaluate the different techniques and compare them with related work. ...
Cartesian Genetic Programs A cartesian genetic program (CGP) is a structural hardware model that arranges logic cells in a two-dimensional geometric layout [19, 18] . ...
doi:10.1145/1389095.1389334
dblp:conf/gecco/KaufmannP08
fatcat:skvhkuo3gfey5pczyxch46i3hi
Fast learning neural networks using Cartesian genetic programming
2013
Neurocomputing
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The method is inspired by the well known and highly effective Cartesian genetic programming (CGP) technique. The proposed method is called the CGP-based Artificial Neural Network (CGPANN). ...
The basic idea is to replace each computational node in CGP with an artificial neuron, thus producing an artificial neural network. ...
In this paper, we are using a graph based form of genetic programming called Cartesian genetic programming (CGP) [15] [16] [17] . ...
doi:10.1016/j.neucom.2013.04.005
fatcat:h3wlugpqafc2hp2uotapnxax4e
Optimizing Shape Design with Distributed Parallel Genetic Programming on GPUs
[chapter]
2012
Studies in Computational Intelligence
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We present work on optimized shape design using a technique from the area of Genetic Programming, self-modifying Cartesian Genetic Programming (SMCGP), to evolve shapes with specific criteria, such as ...
Fitness evaluation of the genetic programming technique is accomplished through a custom implementation of a fluid dynamics solver running on graphics processing units (GPUs). ...
Self-modifying Cartesian Genetic Programming (SMCGP) Self-modifying Cartesian Genetic Programming (SMCGP) is a developmental version of Genetic Programming. ...
doi:10.1007/978-3-642-28789-3_3
fatcat:c625ysjdlffe7m4nddrtgsgayu
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