Everything about Genetic programming

🧭 Start here: a 6-step reading path

1. Read the overview: Genetic programmingA 5-minute orientation
2. Skim a recent paper: Continuous Cartesian Genetic Programming based representation for multi-objective neural architecture searchInfluential work since 2022
3. Pick up a classic book: Cartesian meditationsThe most-reprinted book on the subject
4. Read the landmark paper: Redundancy and computational efficiency in Cartesian genetic programmingCited 219 times
5. Go sideways: Evolutionary computationA closely related topic
6. Go sideways: Java Evolutionary Computation ToolkitA closely related topic

🏆 Landmark papers (most cited)

• Redundancy and computational efficiency in Cartesian genetic programming

  J.F. Miller, S.L. Smith · 2006 · IEEE Transactions on Evolutionary Computation · 219 citations

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

  J.A. Walker, J.F. Miller · 2008 · IEEE Transactions on Evolutionary Computation · 122 citations

• Cartesian genetic programming: its status and future

  Julian Francis Miller · 2019 · Genetic Programming and Evolvable Machines · 119 citations

• Fast learning neural networks using Cartesian genetic programming

  Maryam Mahsal Khan, Arbab Masood Ahmad, Gul Muhammad Khan · 2013 · Neurocomputing · 82 citations

• Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming

  Masanori Suganuma, Masayuki Kobayashi, Shinichi Shirakawa · 2020 · Evolutionary Computation · 81 citations

• Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues

  A. Parziale, R. Senatore, A. Della Cioppa · 2021 · Artificial Intelligence in Medicine · 63 citations

• Analysis of Cartesian Genetic Programming’s Evolutionary Mechanisms

  Brian W. Goldman, William F. Punch · 2015 · IEEE Transactions on Evolutionary Computation · 57 citations

• Automatic learning of image filters using Cartesian genetic programming

  P.C.D. Paris, E.C. Pedrino, M.C. Nicoletti · 2015 · Integrated Computer-Aided Engineering · 45 citations

🆕 Influential since 2022

• Continuous Cartesian Genetic Programming based representation for multi-objective neural architecture search

  Cosijopii Garcia-Garcia, Alicia Morales-Reyes, Hugo Jair Escalante · 2023 · Applied Soft Computing · 15 citations

• Machine-Made Synthesis of Stabilization System by Modified Cartesian Genetic Programming

  Askhat I. Diveev, Elizaveta Yu. Shmalko · 2022 · IEEE Transactions on Cybernetics · 14 citations

• Neural Architecture Search for Text Classification With Limited Computing Resources Using Efficient Cartesian Genetic Programming

  Xuan Wu, Di Wang, Huanhuan Chen · 2024 · IEEE Transactions on Evolutionary Computation · 12 citations

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

  Ali Torabi, Arash Sharifi, Mohammad Teshnehlab · 2022 · Neural Processing Letters · 10 citations

• Ensemble Optimization for Invasive Ductal Carcinoma (IDC) Classification Using Differential Cartesian Genetic Programming

  Eid Alkhaldi, Ezzatollah Salari · 2022 · IEEE Access · 6 citations

📚 Books worth reading

• Cartesian meditationsEdmund Husserl, Dorion Cairns · 1960
• Genetic ProgrammingKrzysztof Krawiec · 2013
• Genetic Programming Theory and Practice XRick Riolo · 2013
• Cartesian Genetic ProgrammingJulian F. Miller · 2011
• Cartesian Genetic ProgrammingJulian Miller · 2011
• A field guide to genetic programmingRiccardo Poli · 2008
• Genetic and evolutionary computationStephen L. Smith · 2010
• Applications of Evolutionary ComputationAnna Isabel Esparcia-Alcázar · 2013

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics

• Evolutionary computation Evolutionary computation (EC) from computer science is a family of algorithms for global optimization inspired by biological evolution, and a subfield…
• Java Evolutionary Computation Toolkit ECJ is a freeware evolutionary computation research system written in Java. It is a framework that supports a variety of evolutionary computation techniques…
• Genetic algorithm A genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA)…
• Grammatical evolution Grammatical evolution (GE) is a genetic programming (GP) technique (or approach) from evolutionary computation pioneered by Conor Ryan, JJ Collins and…
• Genetic operator A genetic operator is an operator used in evolutionary algorithms (EA) to guide the algorithm towards a solution to a given problem. There are three main…
• Genetic representation In computer programming, genetic representation is a way of presenting solutions/individuals in evolutionary computation methods. The term encompasses…
• Chromosome (evolutionary algorithm) A chromosome or genotype in evolutionary algorithms (EA) is a set of parameters which define a proposed solution of the problem that the evolutionary algorithm…
• Mutation (evolutionary algorithm) Mutation is a genetic operator used to maintain genetic diversity of the chromosomes of a population of an evolutionary algorithm (EA), including genetic…