Suchergebnisse - Automatic Programming— Program synthesis General Terms Algorithms

TREAD: A New Genetic Programming Representation Aimed at Research of Long Term Complexity Growth

Autoren: Tony E Lewis George D Magoulas The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Tony E Lewis George D Magoulas The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1339.pdf.

Schlagwörter: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— program synthesis General Terms Algorithms, Design, Experimentation Keywords Artificial Intelligence, Genetic Programming, Representations

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.820; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1339.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.820
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1339.pdf

Learning Programs from Traces Using Version Space Algebra

Autoren: Tessa Lau Pedro Domingos Daniel S. Weld et al.

Weitere Verfasser: Tessa Lau Pedro Domingos Daniel S. Weld et al.

Quelle: http://www.cs.washington.edu/homes/pedrod/papers/kcap03b.pdf.

Schlagwörter: Automatic programming—Program synthesis General Terms Algorithms, Experimentation, Human Factors

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.2438; http://www.cs.washington.edu/homes/pedrod/papers/kcap03b.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.2438
http://www.cs.washington.edu/homes/pedrod/papers/kcap03b.pdf

Advanced Techniques for the Creation and Propagation of Modules

Autoren: Paul Kaufmann Marco Platzner The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Paul Kaufmann Marco Platzner The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.cs.uni-paderborn.de/fileadmin/Informatik/AG-Platzner/publications/kaufmann08_gecco/gecco08kaufmann.pdf.

Schlagwörter: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— Program Synthesis General Terms Algorithms, Design, Experimentation, Performance Keywords Cartesian genetic programming (CGP, embedded cartesian

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.545.6377

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.545.6377
http://www.cs.uni-paderborn.de/fileadmin/Informatik/AG-Platzner/publications/kaufmann08_gecco/gecco08kaufmann.pdf

MOGE: GP classification problem decomposition using multi-objective optimization

Autoren: Andrew Mcintyre Malcolm Heywood The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Andrew Mcintyre Malcolm Heywood The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.cs.york.ac.uk/rts/docs/GECCO_2006/docs/p863.pdf.

Schlagwörter: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming – program synthesis. General Terms Algorithms, Performance, Design, Experimentation. Keywords Genetic Programming, Multi-objective Classification

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.8631; http://www.cs.york.ac.uk/rts/docs/GECCO_2006/docs/p863.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.8631
http://www.cs.york.ac.uk/rts/docs/GECCO_2006/docs/p863.pdf

Towards Identifying Populations that Increase the Likelihood of

Autoren: Jason M. Daida The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Jason M. Daida The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1627.pdf.

Schlagwörter: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming – program synthesis. General Terms Algorithms, Performance, Experimentation, Theory. Keywords Population dynamics, initial populations, binomial-3, GP problem difficulty

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.8098; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1627.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.8098
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1627.pdf

TREAD: A New Genetic Programming Representation Aimed at Research of Long Term Complexity Growth ABSTRACT

Autoren: Tony E Lewis The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Tony E Lewis The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.dcs.bbk.ac.uk/~gmagoulas/t12pap515-lewis.pdf.

Schlagwörter: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— program synthesis General Terms Algorithms, Design, Experimentation Keywords Artificial Intelligence, Genetic Programming, Representations

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.4458

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.4458
http://www.dcs.bbk.ac.uk/~gmagoulas/t12pap515-lewis.pdf

Adaptive Ketogenic–Mediterranean Protocol (AKMP) in Real Clinical Practice: 14-Week Pre–Post Cohort Study on Glucolipid Markers and Safety.

Autoren: García-Gorrita, Cayetano San Onofre, Nadia Merino-Torres, Juan F. et al.

Quelle: Nutrients. Nov2025, Vol. 17 Issue 22, p3559. 37p.

The Use of Artificial Intelligence (AI) to Support Dietetic Practice Across Primary Care: A Scoping Review of the Literature.

Autoren: Ngo, Kaitlyn Mekhail, Simone Chan, Virginia et al.

Quelle: Nutrients. Nov2025, Vol. 17 Issue 22, p3515. 45p.

Parenting Style and Social Media: Impact on Children's Dietary Patterns.

Autoren: Dessì, Angelica Petza, Silvia Di Carlo, Alice et al.

Quelle: Nutrients. Oct2025, Vol. 17 Issue 20, p3254. 25p.

Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.

Autoren: Akbarein, Hesameddin Taaghi, Mohammad Hussein Mohebbi, Mahyar et al.

Quelle: Veterinary Medicine & Science. May2025, Vol. 11 Issue 3, p1-29. 29p.

Schlagworte: Machine learning, Artificial intelligence, Veterinary medicine, Resource allocation, Medical research

A NOVEL PROGRAM SYNTHESIS APPROACH IN TEST DRIVEN SOFTWARE DEVELOPMENT.

Autoren: FERENCZ, Endre GOLDSCHMIDT, Balázs

Quelle: Pollack Periodica; 2017, Vol. 12 Issue 2, p3-15, 13p

Schlagwörter: COMPUTER software development, JAVA programming language, SOURCE code, AUTOMATIC programming (Computer science), SOFTWARE verification

Genetic Program Feature Selection for Epistatic Problems using a GA+ANN Hybrid Approach

Autoren: Jesse Craig Colin Rickert Ian Kavanagh et al.

Weitere Verfasser: Jesse Craig Colin Rickert Ian Kavanagh et al.

Quelle: http://pdf.aminer.org/000/225/956/improving_gp_classifier_generalization_using_a_cluster_separation_metric.pdf.

Schlagwörter: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming – program synthesis. General Terms Algorithms, Performance. Keywords Genetic programming, genetic algorithms, artificial neural networks, classification, feature selection, epistatic problems, problem

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.460.1644; http://pdf.aminer.org/000/225/956/improving_gp_classifier_generalization_using_a_cluster_separation_metric.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.460.1644
http://pdf.aminer.org/000/225/956/improving_gp_classifier_generalization_using_a_cluster_separation_metric.pdf

Understanding Microarray Data through Applying Competent Program Evolution

Autoren: Moshe Looks Mauricio Mudado Cassio Pennachin et al.

Weitere Verfasser: Moshe Looks Mauricio Mudado Cassio Pennachin et al.

Quelle: http://www.metacog.org/papers/gecco07e.pdf.

Schlagwörter: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming – Program synthesis General Terms Algorithms, Design, Experimentation Keywords Empirical Study, Heuristics, Optimization, Representations

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.7743; http://www.metacog.org/papers/gecco07e.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.7743
http://www.metacog.org/papers/gecco07e.pdf

Advanced Techniques for the Creation and Propagation of Modules in Cartesian Genetic Programming

Autoren: Paul Kaufmann Marco Platzner The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Paul Kaufmann Marco Platzner The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1219.pdf.

Schlagwörter: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— Program Synthesis General Terms Algorithms, Design, Experimentation, Performance Keywords Cartesian genetic programming (CGP, embedded cartesian

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.9345; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1219.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.9345
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1219.pdf

Genetic programming needs better benchmarks

Autoren: James Mcdermott David R. White Sean Luke et al.

Weitere Verfasser: James Mcdermott David R. White Sean Luke et al.

Quelle: http://www.dcs.gla.ac.uk/~whited/papers/genetic_programming_needs_better_benchmarks.pdf.

Schlagwörter: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic programming— Program synthesis General Terms Algorithms, Experimentation, Measurement Keywords Genetic Programming, Benchmarks

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.369.7187; http://www.dcs.gla.ac.uk/~whited/papers/genetic_programming_needs_better_benchmarks.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.369.7187
http://www.dcs.gla.ac.uk/~whited/papers/genetic_programming_needs_better_benchmarks.pdf

Genetic Programming Needs Better Benchmarks

Autoren: James Mcdermott David R. White Sean Luke et al.

Weitere Verfasser: James Mcdermott David R. White Sean Luke et al.

Quelle: http://www.cs.gmu.edu/~sean/papers/gecco12benchmarks.pdf.

Schlagwörter: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic programming— Program synthesis General Terms Algorithms, Experimentation, Measurement Keywords Genetic Programming, Benchmarks

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.3642; http://www.cs.gmu.edu/~sean/papers/gecco12benchmarks.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.3642
http://www.cs.gmu.edu/~sean/papers/gecco12benchmarks.pdf

to the original GECCO publication and an earlier unnumbered corrective version. Genetic Programming Needs Better Benchmarks

Autoren: James Mcdermott David R. White Sean Luke et al.

Weitere Verfasser: James Mcdermott David R. White Sean Luke et al.

Quelle: http://cs.gmu.edu/~sean/papers/gecco12benchmarks3.pdf.

Schlagwörter: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic programming— Program synthesis General Terms Algorithms, Experimentation, Measurement Keywords Genetic Programming, Benchmarks

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.7158; http://cs.gmu.edu/~sean/papers/gecco12benchmarks3.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.7158
http://cs.gmu.edu/~sean/papers/gecco12benchmarks3.pdf

Probing for Limits to Building Block Mixing with a Tunably-Difficult Problem for Genetic Programming

Autoren: Jason M. Daida Matthew J. Byom The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Jason M. Daida Matthew J. Byom The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1713.pdf.

Schlagwörter: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming – program synthesis. General Terms Algorithms, Performance, Experimentation, Theory. Keywords Tunably-difficult problems, Highlander problem, building blocks, initial

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.6674; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1713.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.6674
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1713.pdf

Goals as reward-producing programs.

Autoren: Davidson, Guy Todd, Graham Togelius, Julian et al.

Quelle: Nature Machine Intelligence; Feb2025, Vol. 7 Issue 2, p205-220, 16p

Antimicrobial susceptibility profiles of Escherichia coli isolates from domestic pigeons in Hungary.

Autoren: Kerek, Ádám Szabó, Ábel Jerzsele, Ákos

Quelle: Frontiers in Veterinary Science. 2025, p1-15. 15p.