Results 41 to 50 of about 9,566,413 (315)

On Comprehension of Genetic Programming Solutions: A Controlled Experiment on Semantic Inference

Mathematics, 2022
Applied to the problem of automatic program generation, Genetic Programming often produces code bloat, or unexpected solutions that are, according to common belief, difficult to comprehend.
Boštjan Slivnik, Željko Kovačević, Marjan Mernik, Tomaž Kosar   +3 more
doaj   +1 more source

NNC: A tool based on Grammatical Evolution for data classification and differential equation solving

SoftwareX, 2019
A genetic programming tool is demonstrated for data classification and differential equation solving. The fundamental element of the method is the well-known technique of Grammatical Evolution.
Ioannis G. Tsoulos, Alexandros Tzallas, Dimitris Tsalikakis   +2 more
doaj   +1 more source

Genetic Programming for Multibiometrics

, 2012
Biometric systems suffer from some drawbacks: a biometric system can provide in general good performances except with some individuals as its performance depends highly on the quality of the capture. One solution to solve some of these problems is to use
Giot, Romain, Rosenberger, Christophe
core   +3 more sources

Fine-grained timing using genetic programming [PDF]

, 2010
In previous work, we have demonstrated that it is possible to use Genetic Programming to minimise the resource consumption of software, such as its power consumption or execution time. In this paper, we investigate the extent to which Genetic Programming
A.F. Webster, J. Kelsey, N.L. Binkert, P. Kocher, P.C. Kocher   +4 more
core   +1 more source

Revisiting Genetic Network Programming (GNP): Towards the Simplified Genetic Operators

IEEE Access, 2018
Genetic network programming (GNP) is a relatively new type of graph-based evolutionary algorithm, which designs a directed graph structure for its individual representation.
Xianneng Li, Huiyan Yang, Meihua Yang
doaj   +1 more source

Multitask Evolution with Cartesian Genetic Programming

, 2017
We introduce a genetic programming method for solving multiple Boolean circuit synthesis tasks simultaneously. This allows us to solve a set of elementary logic functions twice as easily as with a direct, single-task approach.Comment: 2 ...
Caruana Rich, Dorigo Marco, Miller Julian F   +2 more
core   +1 more source

Evolving text classification rules with genetic programming [PDF]

, 2005
We describe a novel method for using genetic programming to create compact classification rules using combinations of N-grams (character strings). Genetic programs acquire fitness by producing rules that are effective classifiers in terms of precision ...
Anthony N., Ebert D., Hirsch L., Joachims T., Karanikas H., Koza J. R., Koza J. R., Langdon W.B., Laurence Hirsch, Lodhi H., Masoud Saeedi, Montana D, Robin Hirsch, Salton G., Van Rijsbergen C. J.   +14 more
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Self-adaptation of Genetic Operators Through Genetic Programming Techniques

, 2017
Here we propose an evolutionary algorithm that self modifies its operators at the same time that candidate solutions are evolved. This tackles convergence and lack of diversity issues, leading to better solutions.
Perdomo, Jonatan Gomez, Salinas, Andres Felipe Cruz   +1 more
core   +1 more source

A Survey of Genetic Programming and Its Applications

KSII Transactions on Internet and Information Systems, 2019
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Milad Taleby Ahvanooey, Qianmu Li, Ming Wu, Shuo Wang   +3 more
semanticscholar   +1 more source

Application of Genetic Programming to High Energy Physics Event Selection

, 2005
We review genetic programming principles, their application to FOCUS data samples, and use the method to study the doubly Cabibbo suppressed decay D+ -> K+ pi+ pi- relative to its Cabibbo favored counterpart, D+ -> K- pi+ pi+. We find that this technique
A. Cerutti, A. Kryemadhi, A. Massafferri, A. Paris, A. Rahimi, A. Sánchez-Hernández, A. Zallo, A.A. Machado, A.C. dos Reis, A.E. Kreymer, A.M. Lopez, B. O’Reilly, B.R. Ko, Banzhaf, C. Castromonte, C. Cawlfield, C. Göbel, C. Pontoglio, C. Riccardi, C. Uribe, Cranmer, D. Engh, D. Lopes Pegna, D. Menasce, D. Pantea, D. Pedrini, D.Y. Kim, E. Casimiro, E. Cuautle, E. Gottschalk, E. Luiggi, E. Polycarpo, E.W. Vaandering, F. Leveraro, F. Prelz, F. Vázquez, F.L. Fabbri, Frabetti, Frabetti, G. Alimonti, G. Boca, G. Bonomi, G. Chiodini, G. Gianini, G. Liguori, H. Hernandez, H. Mendez, H. Park, H.W.K. Cheung, Hagiwara, I. Bediaga, I. Gaines, I. Segoni, I.M. Pepe, J. Magnin, J. Quinones, J. Wiss, J.C. Anjos, J.E. Moore, J.E. Ramirez, J.M. de Miranda, J.M. Link, J.N. Butler, J.P. Cumalat, J.R. Wilson, J.S. Kang, J.W. Kwak, K. Cho, K. Stenson, K.B. Lee, Koza, L. Agostino, L. Benussi, L. Cinquini, L. Edera, L. Moroni, L.A. Garren, Link, Link, Link, Link, Link, M. Bertani, M. Boschini, M. DiCorato, M. Hosack, M. Mezzadri, M. Nehring, M. Reyes, M. Rovere, M. Sheaff, M. Wang, M. Webster, M.M. Merlo, P. Dini, P. D’Angelo, P. Inzani, P. Vitulo, P.D. Sheldon, P.H. Garbincius, P.H. Kasper, P.M. Yager, R. Gardner, R. Kutschke, R. Mitchell, S. Barberis, S. Bianco, S. Carrillo, S. Erba, S. Malvezzi, S. Pacetti, S. Sala, S.P. Ratti, T. Handler, T.F. Davenport, V. Arena, W.E. Johns, Wall, Y. Zhang, Y.S. Chung   +119 more
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