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Evolving Evolutionary AlgorithmsResearch perfomed for evolving algorithms.
http://eea.cs.ubbcluj.ro/
Research perfomed for evolving algorithms.
http://eea.cs.ubbcluj.ro/
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Evolving Evolutionary Algorithms | eea.cs.ubbcluj.ro Reviews
https://eea.cs.ubbcluj.ro
Research perfomed for evolving algorithms.
eea.cs.ubbcluj.ro
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Http:/ www.cs.ubbcluj.ro/ moltean. Cgrosan@nessie.cs.ubbcluj.ro. Http:/ www.cs.ubbcluj.ro/ cgrosan. Last updated: miercuri mai 03, 2006.
Description
http://www.eea.cs.ubbcluj.ro/About.htm
Evolutionary Algorithms (EAs) are powerful tools used for solving difficult real-world problems. They have been developed in order to solve some real-world problems that the classical (mathematical) methods failed to successfully tackle. Many of these unsolved problems are (or could be turned into) optimization problems. The solving of an optimization problem means finding solutions that maximize or minimize a criteria function. What is the optimal population size? NFL) theorems for Search. Theorems stat...
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Optical solutions to NP-complete problems. Last updated: miercuri mai 03, 2006.
Evolving Evolutionary Algorithms
http://www.eea.cs.ubbcluj.ro/index.html
The purpose of this research is to obtain better Evolutionary Algorithms. Instead of writing an EA by hand, we let the evolution to discover one. We have developed several Evolutionary Algorithms which evolve other Evolutionary Algorithms. Three main approaches have been proposed so far:. MEP-based approach for evolving evolutionary patterns. Last updated: miercuri mai 03, 2006.
Source Code
http://www.eea.cs.ubbcluj.ro/Source%20Code.htm
Source code for Evolving Evolutionary Algorithms will be available soon. 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
http://www.tgp.cs.ubbcluj.ro/Links.htm
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
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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 - research papers
http://www.mep.cs.ubbcluj.ro/papers.html
If your paper is not here, please send us an email with all details of your papers. Qingke Zhang, Xiangxu Meng, Bo Yang, Weiguo Liu, MREP: Multi-Reference Expression Programming. 12th International Conference on Intelligent Computation, LNCS 9772, pp 26-38 2016. Xin Ma, Zhi-bin Liu, Predicting the Oil Well Production Based on Multi Expression Programming. The Open Petroleum Engineering Journal, Vol. 9, pp. 21-32, 2016. Mathematical Problems in Engineering, 2015. Applied Intelligence, Springer, April 2015.
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.
Multi Expression Programming - research papers
http://www.mepx.org/papers.html
If your paper is not here, please send us an email with all details of your papers. Qingke Zhang, Xiangxu Meng, Bo Yang, Weiguo Liu, MREP: Multi-Reference Expression Programming. 12th International Conference on Intelligent Computation, LNCS 9772, pp 26-38 2016. Xin Ma, Zhi-bin Liu, Predicting the Oil Well Production Based on Multi Expression Programming. The Open Petroleum Engineering Journal, Vol. 9, pp. 21-32, 2016. Mathematical Problems in Engineering, 2015. Applied Intelligence, Springer, April 2015.
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Evolving Evolutionary Algorithms
The purpose of this research is to obtain better Evolutionary Algorithms. Instead of writing an EA by hand, we let the evolution to discover one. We have developed several Evolutionary Algorithms which evolve other Evolutionary Algorithms. Three main approaches have been proposed so far:. MEP-based approach for evolving evolutionary patterns. Last updated: miercuri mai 03, 2006.
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