Keyword

Cartesian genetic programming

Description: Cartesian genetic programming is an evolutionary computation method that encodes programs as directed graphs and improves them through selection and variation.

Primary topic: Evolutionary Algorithms and Applications (75%)

Wikidata ID: wiki/Q55080308

OpenAlex ID: keywords/cartesian-genetic-programming

A Field Guide to Genetic Programming

2008 · Riccardo Poli, William B. Langdon, et al. · 1,705

Cartesian Genetic Programming

2000 · Julian F. Miller, Peter Thomson · Lecture notes in computer science · 959

A genetic programming approach to designing convolutional neural network architectures

2017 · Masanori Suganuma, Shinichi Shirakawa, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 551

EvoApprox8b: Library of Approximate Adders and Multipliers for Circuit Design and Benchmarking of Approximation Methods

2017 · Vojtech Mrazek, Radek Hrbacek, et al. · Design, Automation, and Test in Europe · 362

Cartesian genetic programming

2010 · Julian F. Miller, Simon L. Harding · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 276

Redundancy and computational efficiency in Cartesian genetic programming

2006 · J.F. Miller, S.L. Smith · IEEE Transactions on Evolutionary Computation · 270

Cartesian Genetic Programming

2011 · Miller, Julian F · Natural computing series · 227

An empirical study of the efficiency of learning boolean functions using a Cartesian Genetic Programming approach

1999 · Julian F. Miller · 214

Cartesian Genetic Programming

2011 · Julian F. Miller · Natural computing series · 179

Improving the Accuracy and Hardware Efficiency of Neural Networks Using Approximate Multipliers

2019 · Mohammad Saeed Ansari, Vojtech Mrazek, et al. · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 150

The Automatic Acquisition, Evolution and Reuse of Modules in Cartesian Genetic Programming

2008 · J.A. Walker, J.F. Miller · IEEE Transactions on Evolutionary Computation · 146

Evolutionary Approach to Approximate Digital Circuits Design

2014 · Zdenek Vasicek, Lukas Sekanina · IEEE Transactions on Evolutionary Computation · 137

Cartesian genetic programming: its status and future

2019 · Julian Francis Miller · Genetic Programming and Evolvable Machines · 132

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A Genetic Programming Approach to Designing Convolutional Neural Network Architectures

2018 · Masanori Suganuma, Shinichi Shirakawa, et al. · International Joint Conference on Artificial Intelligence · 115

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Cartesian genetic programming

2008 · Julian Francis Miller, Simon L. Harding · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 99

Fast learning neural networks using Cartesian genetic programming

2013 · Maryam Mahsal Khan, Arbab Masood Ahmad, et al. · Neurocomputing · 96

A new crossover technique for Cartesian genetic programming

2007 · Janet Clegg, James Alfred Walker, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 95

Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming

2019 · Masanori Suganuma, Masayuki Kobayashi, et al. · Evolutionary Computation · 86

Evolution and Acquisition of Modules in Cartesian Genetic Programming

2004 · James Alfred Walker, Julian Francis Miller · Lecture notes in computer science · 78

Evolving simple programs for playing atari games

2018 · Dennis G Wilson, Sylvain Cussat-Blanc, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 72

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Libraries of Approximate Circuits: Automated Design and Application in CNN Accelerators

2020 · Vojtech Mrazek, Lukas Sekanina, et al. · IEEE Journal on Emerging and Selected Topics in Circuits and Systems · 71

Cartesian Genetic Programming for Image Processing

2013 · Simon Harding, Jürgen Leitner, et al. · Genetic and evolutionary computation · 71

Multi Expression Programming

2021 · Mihai Oltean, D. Dumitrescu · Research Square · 68

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What bloat? Cartesian Genetic Programming on Boolean problems

2003 · Julian F. Miller · 66

Reducing Wasted Evaluations in Cartesian Genetic Programming

2013 · Brian W. Goldman, William F. Punch · Lecture notes in computer science · 64

Works count: 897

Citation count: 11,880