Traceless Genetic Programming (TGP) is a Genetic Programming variant as it evolves a population of computer programs. The main difference between the TGP and GP is that TGP does not explicitly store the evolved computer programs. Since June 16th 2004. Last updated: miercuri mai 03, 2006.
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Traceless Genetic Programming | tgp.cs.ubbcluj.ro Reviews
https://tgp.cs.ubbcluj.ro
Traceless Genetic Programming (TGP) is a Genetic Programming variant as it evolves a population of computer programs. The main difference between the TGP and GP is that TGP does not explicitly store the evolved computer programs. Since June 16th 2004. Last updated: miercuri mai 03, 2006.
tgp.cs.ubbcluj.ro
TGP description
http://www.tgp.cs.ubbcluj.ro/About.htm
The aim of symbolic regression is to find a mathematical expression that satisfies best a set of fitness cases. Each fitness case is given as a ( n. 1) dimensional array of real values:. Are the values of the problem's attributes and f. Is the target value. Usually more fitness cases are given (let us denote by m. This number) and the task is to find the expression that satisfies best all these fitness cases. This is usually done by minimizing the quantity:. Is the target value for the k. For obtaining n...
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Http:/ www.cs.ubbcluj.ro/ moltean. Last updated: miercuri mai 03, 2006.
Links
http://www.tgp.cs.ubbcluj.ro/Links.htm
Optical solutions to NP-complete problems. Last updated: miercuri mai 03, 2006.
Traceless Genetic Programming
http://www.tgp.cs.ubbcluj.ro/index.html
Traceless Genetic Programming (TGP) is a Genetic Programming variant as it evolves a population of computer programs. The main difference between the TGP and GP is that TGP does not explicitly store the evolved computer programs. Since June 16th 2004. Last updated: miercuri mai 03, 2006.
Source Code
http://www.tgp.cs.ubbcluj.ro/Source%20Code.htm
Source code for the TGP technique [ zip. The source is written in C and it was use for evolving Boolean functions (even-parity). Last updated: miercuri mai 03, 2006.
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Multi Expression Programming - what is new
http://www.mepx.org/what_is_new.html
For news, please subscribe here: https:/ groups.google.com/d/forum/mepx. New source code for evolving Evolutionary Algorithms for Single Objective Optimization using MEP is available on Github. New MEPX release. Bug fixing. More exact function for counting the running time. New random number generator. New MEPX release. Bug fixing. List of papers updated. 201604.07-2016.04.25. Several strategies for multi-class classification have been tested. See more details here. New MEPX release. Added Mean Squar...
Multi Expression Programming - links to other genetic programming stuff
http://www.mepx.org/links.html
Other Genetic Programming stuff. Evolving Heuristics with Genetic Programming.
Links
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Optical solutions to NP-complete problems. Last updated: miercuri mai 03, 2006.
Publications
http://www.tcreate.org/publications.html
Oltean Mihai, Muntean Oana, An Optical Solution for the SAT Problem. Third International Workshop, OSC 2010, Bertinoro, Italy, November 17-19, 2010, Revised Selected Papers, LNCS 6748, pp 53-62, Springer-Verlag, 2010 [ website. L Stirb, Zs. Marian, Oltean Mihai, An Autonomous Approach to Wheel Changing Problem. Studia Universitatis Babes-Bolyai Series Informatica, Vol. LV, Issue 1, pp. 41-50, 2010 [ Youtube movie. Oltean Mihai, Muntean Oana, Solving the subset sum problem with a light-based computer.
Links
http://www.tcreate.org/links.html
Automatic generation of computer programs. A Genetic Programming (GP) variant for automatic generation of computer programs (for data analysis, designing digital circuits, etc). C source code available for download. Evolving Heuristics with Genetic Programming. Automatic generation of heuristics for NP-complete problems. Automatic generation of evolutionary algorithms (also called Meta GP). Automatic generation of computer programs. How to solve difficult (NP-complete) problems with light.
Multi Expression Programming - what is new
http://www.mep.cs.ubbcluj.ro/what_is_new.html
For news, please subscribe here: https:/ groups.google.com/d/forum/mepx. New MEPX release. Bug fixing. More exact function for counting the running time. New random number generator. New MEPX release. Bug fixing. List of papers updated. New MEP source code for solving even-parity problems with Automatically Defined Functions. Can be downloaded from https:/ github.com/mepx/mep-basic-src. 201604.07-2016.04.25. Several strategies for multi-class classification have been tested. See more details here. New ME...
Multi Expression Programming - links to other genetic programming stuff
http://www.mep.cs.ubbcluj.ro/links.html
Other Genetic Programming stuff. Evolving Heuristics with Genetic Programming.
TOTAL LINKS TO THIS WEBSITE
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Traceless Genetic Programming
Traceless Genetic Programming (TGP) is a Genetic Programming variant as it evolves a population of computer programs. The main difference between the TGP and GP is that TGP does not explicitly store the evolved computer programs. Since June 16th 2004. Last updated: miercuri mai 03, 2006.
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