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Multi Expression Programming - data analysis, regression, classificationMulti Expression Programming for data analysis, regression, classification
http://www.mepx.org/
Multi Expression Programming for data analysis, regression, classification
http://www.mepx.org/
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Multi Expression Programming - data analysis, regression, classification | mepx.org Reviews
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Multi Expression Programming for data analysis, regression, classification
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Multi Expression Programming - method description
http://www.mepx.org/about.html
Multi Expression Programming (MEP) is a method for automatic generation of computer programs. Particularly it can be used for generating mathematical expressions for data analysis (regression and classification). Each MEP chromosome has a constant number of genes. This number defines the length of the chromosome. Each gene contains an instruction (also name function) or variable (also named terminal). A gene that encodes a function includes pointers towards the function arguments. Function arguments ...
Multi Expression Programming - source code for MEP
http://www.mepx.org/source_code.html
GitHub repository with MEP source code.
Multi Expression Programming Software X - user manual
http://www.mepx.org/mepx_user_manual.html
Download MEPX software from here. Press Load training data. Button and choose a. File Data must be separated by blank space, tab or ;. Panel Modify some parameters if needed. For instance, one could modify code length, numer of subpopulations, the (sub)population size, number of generations. Etc Also specify the problem type (regression or binary classification). Button from the main toolbar. Read the results from Results. From the main toolbar. Data are loaded from. Is compulsory. The others (. Which wi...
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.
Multi Expression Programming - people working with MEP
http://www.mepx.org/people.html
People working with Multi Expression Programming. If you published a paper on Multi Expression Programming, please let us know and we will list your name here. Mihai Oltean, www.tcreate.org. D Dumitrescu, http:/ www.cs.ubbcluj.ro/ ddumitr. Crina Grosan, http:/ www.cs.ubbcluj.ro/ cgrosan. Laura Diosan, http:/ www.cs.ubbcluj.ro/ lauras. Amir H. Alavi, http:/ www.egr.msu.edu/ alavi. Pei He, Peking University. Wei Deng, Peking University. Amir H. Gandomi, http:/ gandomi.beacon-center.org. Han, S.Y. Sahab Moh...
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About me
http://www.tcreate.org/aboutme.html
Few things about me. Professor, Faculty of Exact Sciences and Engineering. 1 Decembrie 1918" University of Alba Iulia. 510009 Alba Iulia, Gabriel Bethlen 5, Romania. Http:/ www.tcreate.org. Few things I have created. A multi-purpose, almost humanoid robot. More details here: jenny5.org. Optical computing with time delays. A simple way to solve NP-complete problems with delayed photons. More details here: Optical computing with time-delays. Automatic generation of heuristics. No Free Lunch proof. 2006-pre...
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.
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Multi Expression Programming - data analysis, regression, classification
Multi Expression Programming (MEP) is a technique for generating computer programs by evolutionary meanings. MEP introduced a unique feature: the ability to encode multiple solutions in the same chromosome. This means that we can explore much more from the search space compared to other techniques which encode a single solution in the chromosome. In most cases this advantage comes with no penalty regarding the running time or the involved resources.
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