A Comprehensive Study on Subgraph Crossover in Cartesian Genetic Programming

Comprehensive Study

Discriminating normal and cancerous thyroid cell lines using implicit context representation Cartesian genetic programming

IEEE Congress on Evolutionary Computation ◽

10.1109/cec.2010.5586494 ◽

2010 ◽

Cited By ~ 5

Author(s):

Michael A. Lones ◽

Stephen L. Smith ◽

Andrew T. Harris ◽

Alec S. High ◽

Sheila E. Fisher ◽

...

Keyword(s):

Genetic Programming ◽

Cell Lines ◽

Thyroid Cell ◽

Advances in Intelligent Systems and Computing - Innovations in Bio-Inspired Computing and Applications ◽

Implementation of Threshold Comparator Using Cartesian Genetic Programming on Embryonic Fabric

10.1007/978-3-030-16681-6_10 ◽

2019 ◽

pp. 93-102

Author(s):

Gayatri Malhotra ◽

V. Lekshmi ◽

S. Sudhakar ◽

S. Udupa

Keyword(s):

Genetic Programming ◽

Parallel Problem Solving from Nature – PPSN XIII - Lecture Notes in Computer Science ◽

Recurrent Cartesian Genetic Programming

10.1007/978-3-319-10762-2_47 ◽

2014 ◽

pp. 476-486 ◽

Cited By ~ 13

Author(s):

Andrew James Turner ◽

Julian Francis Miller

Keyword(s):

Genetic Programming ◽

Computational Intelligence in Music, Sound, Art and Design - Lecture Notes in Computer Science ◽

Non-photorealistic Rendering with Cartesian Genetic Programming Using Graphics Processing Units

10.1007/978-3-319-77583-8_3 ◽

2018 ◽

pp. 34-49 ◽

Cited By ~ 1

Author(s):

Illya Bakurov ◽

Brian J. Ross

Keyword(s):

Genetic Programming ◽

Graphics Processing Units ◽

Photorealistic Rendering ◽

Graphics Processing

Bio-signal Processing Using Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN)

2012 10th International Conference on Frontiers of Information Technology ◽

10.1109/fit.2012.54 ◽

2012 ◽

Cited By ~ 5

Author(s):

Arbab Masood Ahmad ◽

Gul Muhammad Khan

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Signal Processing ◽

Genetic Programming ◽

Artificial Neural

Hybridization of Cartesian Genetic Programming and Differential Evolution for Generating Classifiers Based on Neural Networks

2018 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec.2018.8477906 ◽

2018 ◽

Cited By ~ 1

Author(s):

Johnathan M. Melo Neto ◽

Heder S. Bernardino ◽

Helio J.C. Barbosa

Keyword(s):

Neural Networks ◽

Genetic Programming ◽

Differential Evolution ◽

Advances in Intelligent Systems and Computing - Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2 ◽

Cartesian Genetic Programming for Synthesis of Optimal Control System

10.1007/978-3-030-63089-8_13 ◽

2020 ◽

pp. 205-222

Author(s):

Askhat Diveev

Keyword(s):

Optimal Control ◽

Control System ◽

Genetic Programming ◽

Optimal Control System

A Reinforcement Learning Based Adaptive Mutation for Cartesian Genetic Programming Applied to the Design of Combinational Logic Circuits

Intelligent Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-61380-8_2 ◽

2020 ◽

pp. 18-32

Author(s):

Frederico José Dias Möller ◽

Heder Soares Bernardino ◽

Luciana Brugiolo Gonçalves ◽

Stênio Sã Rosário Furtado Soares

Keyword(s):

Reinforcement Learning ◽

Genetic Programming ◽

Logic Circuits ◽

Adaptive Mutation ◽

Combinational Logic ◽

Combinational Logic Circuits

Cartesian Genetic Programming for Control Engineering

Inspired by Nature - Emergence, Complexity and Computation ◽

10.1007/978-3-319-67997-6_7 ◽

2017 ◽

pp. 157-173

Author(s):

Tim Clarke

Keyword(s):

Genetic Programming ◽

Control Engineering

Breaking the Stereotypical Dogma of Artificial Neural Networks with Cartesian Genetic Programming

Inspired by Nature - Emergence, Complexity and Computation ◽

10.1007/978-3-319-67997-6_10 ◽

2017 ◽

pp. 213-233

Author(s):

Gul Muhammad Khan ◽

Arbab Masood Ahmad

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Genetic Programming ◽

Artificial Neural