Výsledky vyhľadávania - Performance Keywords Cartesian Genetic Programming

Embedded cartesian genetic programming and the lawnmower and hierarchical-if-and-only-if problems

Autori: James Alfred Walker The Pennsylvania State University CiteSeerX Archives

Prispievatelia: James Alfred Walker The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.elec.york.ac.uk/intsys/users/jfm7/gecco2006-walker-miller.pdf.

Predmety: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— Program synthesis, I.2.8 [Artificial Intelligence, Problem Solving, Control Methods and Search General Terms Algorithms, Design, Performance Keywords Cartesian Genetic Programming, Embedded Cartesian Genetic Programming, Module Acquisition, Automatically Defined Functions, Evolution, Lawnmower problem, Hierarchical-if-and-only-if

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.7841

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.7841
http://www.elec.york.ac.uk/intsys/users/jfm7/gecco2006-walker-miller.pdf

A New Crossover Technique for Cartesian Genetic Programming

Autori: Janet Clegg The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Janet Clegg The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.elec.york.ac.uk/intsys/users/jfm7/gecco2007-clegg-walker-miller.pdf.

Predmety: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— Program synthesis, I.2.8 [Artificial Intelligence, Problem Solving, Control Methods and Search General Terms Algorithms, Design, Performance Keywords Cartesian Genetic Programming, optimization, crossover

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.106.8417

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.106.8417
http://www.elec.york.ac.uk/intsys/users/jfm7/gecco2007-clegg-walker-miller.pdf

Solving Real-valued Optimisation Problems using Cartesian Genetic Programming

Autori: James Alfred Walker Julian Francis Miller The Pennsylvania State University CiteSeerX Archives

Prispievatelia: James Alfred Walker Julian Francis Miller The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.elec.york.ac.uk/intsys/users/jfm7/gecco2007-walker-miller.pdf.

Predmety: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— Program synthesis, I.2.8 [Artificial Intelligence, Problem Solving, Control Methods and Search General Terms Algorithms, Design, Performance Keywords Cartesian Genetic Programming, Real-valued Function Optimisation, Modules, Evolutionary Programming

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.2760

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.2760
http://www.elec.york.ac.uk/intsys/users/jfm7/gecco2007-walker-miller.pdf

FMCGP: frameshift mutation cartesian genetic programming.

Autori: Fang, Wei Gu, Mindan

Zdroj: Complex & Intelligent Systems; Jun2021, Vol. 7 Issue 3, p1195-1206, 12p

Predmety: FRAMESHIFT mutation, GENETIC mutation, DIRECTED acyclic graphs, GENETIC programming, INSERTION mutation, CONVERGENCE (Telecommunication), PERFORMANCE standards

Using Cartesian Genetic Programming Approach with New Crossover Technique to Design Convolutional Neural Networks.

Autori: Torabi, Ali Sharifi, Arash Teshnehlab, Mohammad

Zdroj: Neural Processing Letters; Oct2023, Vol. 55 Issue 5, p5451-5471, 21p

Predmety: CONVOLUTIONAL neural networks, ARTIFICIAL neural networks, GENETIC programming, IMAGE recognition (Computer vision), DESIGN techniques, EVOLUTIONARY algorithms

An adaptive mutation for cartesian genetic programming using an ϵ-greedy strategy.

Autori: Möller, Frederico José Dias Bernardino, Heder Soares Soares, Stênio Sã Rosário Furtado a ďalší

Zdroj: Applied Intelligence; Nov2023, Vol. 53 Issue 22, p27290-27303, 14p

Predmety: COMBINATIONAL circuits, GENETIC mutation, DETERMINISTIC algorithms, GENETIC programming, NP-complete problems, BENCHMARK problems (Computer science), ELECTRONIC equipment

Using Multivalued Cartesian Genetic Programming (M-CGP) for Automatic Design of Digital Sequential Circuits.

Autori: Jamróz, Dariusz

Zdroj: Applied Sciences (2076-3417); Dec2024, Vol. 14 Issue 23, p11153, 28p

Predmety: SEQUENTIAL circuits, GENETIC programming, REPRESENTATIONS of graphs, PROBLEM solving, INFORMATION storage & retrieval systems, DIGITAL electronics

Enhancing Local Decisions in Agent-Based Cartesian Genetic Programming by CMA-ES †.

Autori: Bremer, Jörg Lehnhoff, Sebastian

Zdroj: Systems; Apr2023, Vol. 11 Issue 4, p177, 21p

Predmety: MULTIAGENT systems, GENETIC programming, PROBLEM solving, ALGORITHMS

Hardware real-time individualised blood glucose predictor generator based on grammars and cartesian genetic programming.

Autori: Cano, Jorge Hidalgo, J. Ignacio Garnica, Óscar

Zdroj: Genetic Programming & Evolvable Machines; Jun2025, Vol. 26 Issue 1, p1-26, 26p

Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming.

Autori: Suganuma, Masanori Kobayashi, Masayuki Shirakawa, Shinichi a ďalší

Zdroj: Evolutionary Computation; Spring2020, Vol. 28 Issue 1, p141-163, 23p

Predmety: ARTIFICIAL neural networks, GENETIC programming, COMPUTER vision, DEEP learning, COMPUTER performance, EVOLUTIONARY algorithms

EvoDevo: Bioinspired Generative Design via Evolutionary Graph-Based Development.

Autori: Tahernezhad-Javazm, Farajollah Colligan, Andrew Friel, Imelda a ďalší

Zdroj: Algorithms; Aug2025, Vol. 18 Issue 8, p467, 34p

Predmety: EVOLUTIONARY developmental biology, GRAPH neural networks, TECHNOLOGICAL innovations, GENETIC programming, BIOMIMETICS, SELF-organizing systems

Enhancing Cartesian genetic programming through preferential selection of larger solutions.

Autori: Milano, Nicola Nolfi, Stefano

Zdroj: Evolutionary Intelligence; Dec2021, Vol. 14 Issue 4, p1539-1546, 8p

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

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

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

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

Predmety: 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

Popis súboru: 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

Dostupnosť: 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

A comparative study for data approximation between two explainable artificial intelligence approaches.

Autori: Nassrullah, Karrar Sahib Stepanyan, Ivan Viktorovich Nasrallah, Haider Sahib a ďalší

Zdroj: AIP Conference Proceedings; 2024, Vol. 3051 Issue 1, p1-11, 11p

Predmety: ARTIFICIAL intelligence, COMPARATIVE studies, REGRESSION analysis, TIME management, GENETIC programming

Developing Neural Structure of Two Agents that Play Checkers Using Cartesian Genetic Programming

Autori: Gul Muhammad Khan Julian F. Miller David M. Halliday a ďalší

Prispievatelia: Gul Muhammad Khan Julian F. Miller David M. Halliday a ďalší

Zdroj: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p2169.pdf.

Predmety: Algorithms, Design, Performance Keywords Cartesian Genetic Programming, Computational Development, Co-evolution, Artificial Neural Networks, Checkers

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.811; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p2169.pdf

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.811
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p2169.pdf

Advanced Techniques for the Creation and Propagation of Modules

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

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

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

Predmety: 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

Popis súboru: application/pdf

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

Dostupnosť: 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

A Comparative Study of Ensemble Techniques Based on Genetic Programming: A Case Study in Semantic Similarity Assessment.

Autori: Martinez-Gil, Jorge

Zdroj: International Journal of Software Engineering & Knowledge Engineering; Feb2023, Vol. 33 Issue 2, p289-312, 24p

Predmety: GENETIC techniques, GENETIC programming, COMPARATIVE studies

Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design.

Autori: Hodan, David Mrazek, Vojtech Vasicek, Zdenek

Zdroj: Genetic Programming & Evolvable Machines; Dec2021, Vol. 22 Issue 4, p539-572, 34p

Evolutionary convolutional neural network for image classification based on multi-objective genetic programming with leader–follower mechanism.

Autori: Liu, Qingqing Wang, Xianpeng Wang, Yao a ďalší

Zdroj: Complex & Intelligent Systems; Jun2023, Vol. 9 Issue 3, p3211-3228, 18p

Predmety: CONVOLUTIONAL neural networks, IMAGE recognition (Computer vision), ARTIFICIAL intelligence, GENETIC programming, BILEVEL programming, GENETIC algorithms

Korporácia: CABLE News Network

An Analysis of the Influence of Noneffective Instructions in Linear Genetic Programming.

Autori: Sotto, Léo Françoso Dal Piccol Rothlauf, Franz de Melo, Vinícius Veloso a ďalší

Zdroj: Evolutionary Computation; Spring2022, Vol. 30 Issue 1, p51-74, 24p

Predmety: LINEAR programming, DIRECTED acyclic graphs, DIGITAL electronics, INTRONS