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Comparing subtree crossover with macromutation

https://doi.org/10.1007/bfb0014804
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(sici)1099-0526(199703/04)2:4<28::aid-cplx7>3.0.co;2-2openalex-snapshot
Evolutionary computation: Toward a new philosophy of machine intelligence
inferredcites →https://doi.org/10.1002/9780470172254.ch1openalex-snapshot
Foundations of Genetic Algorithms
inferredcites →https://doi.org/10.1007/bf00203032openalex-snapshot
Comparing genetic operators with gaussian mutations in simulated evolutionary processes using linear systems
inferredcites →https://doi.org/10.1016/0303-2647(94)90040-xopenalex-snapshot
On the effectiveness of crossover in simulated evolutionary optimization
inferredcites →https://doi.org/10.1016/0303-2647(95)90007-1openalex-snapshot
Advances in genetic programming
inferredcites →https://doi.org/10.1016/0378-4754(82)90117-3openalex-snapshot
Numerical optimization of computer models
inferredcites →https://doi.org/10.1016/b978-1-55860-356-1.50008-xopenalex-snapshot
The Troubling Aspects of a Building Block Hypothesis for Genetic Programming
inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50049-9openalex-snapshot
Hill Climbing Beats Genetic Search on a Boolean Circuit Synthesis Problem of Koza's
inferredcites →https://doi.org/10.1057/jors.1982.238openalex-snapshot
Numerical Optimization of Computer Models
inferredcites →https://doi.org/10.1162/evco.1993.1.1.1openalex-snapshot
An Overview of Evolutionary Algorithms for Parameter Optimization
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems
inferredcites →https://doi.org/10.7551/mitpress/1108.003.0009openalex-snapshot
Genetic Programming and Emergent Intelligence
inferredcites →https://doi.org/10.7551/mitpress/1108.003.0023openalex-snapshot
Two Scientific Applications of Genetic Programming: Stack Filters and Non-Linear Equation Fitting to Chaotic Data
inferredcites →https://doi.org/10.7551/mitpress/1109.001.0001openalex-snapshot
Advances in Genetic Programming
inferredcites →https://doi.org/10.7551/mitpress/3242.003.0006openalex-snapshot
An Investigation into the Sensitivity of Genetic Programming to the Frequency of Leaf Selection During Subtree Crossover

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-642-01181-8_19openalex-snapshot
A Rigorous Evaluation of Crossover and Mutation in Genetic Programming
inferred← citeshttps://doi.org/10.1007/s00500-010-0687-7openalex-snapshot
Genetic programming with one-point crossover and subtree mutation for effective problem solving and bloat control
inferred← citeshttps://doi.org/10.1016/s0165-1889(98)00085-2openalex-snapshot
Investment behavior under Knightian uncertainty – An evolutionary approach
inferred← citeshttps://doi.org/10.1109/cec.1999.781959openalex-snapshot
Of metaphors and Darwinism: deconstructing genetic programming's chimera
inferred← citeshttps://doi.org/10.1109/cec.1999.782013openalex-snapshot
Some information theoretic results on evolutionary optimization
inferred← citeshttps://doi.org/10.1109/his.2008.127openalex-snapshot
Prune and Plant: A New Bloat Control Method for Genetic Programming
inferred← citeshttps://doi.org/10.1109/icsmc.1997.637340openalex-snapshot
Evolving basis functions with dynamic receptive fields
inferred← citeshttps://doi.org/10.1109/tevc.2024.3353182openalex-snapshot
Tree-Based Codification in Neural Architecture Search for Medical Image Segmentation
inferred← citeshttps://doi.org/10.1145/3205455.3205603openalex-snapshot
Program synthesis using uniform mutation by addition and deletion
inferred← citeshttps://doi.org/10.1145/3638529.3654079openalex-snapshot
A Functional Analysis Approach to Symbolic Regression
inferred← citeshttps://doi.org/10.1162/evco.2010.18.2.18206openalex-snapshot
Bloat Control Operators and Diversity in Genetic Programming: A Comparative Study
inferred← citeshttps://doi.org/10.2139/ssrn.6233085openalex-snapshot
Rademacher complexity-based simplification approach to generate interpretable solutions with genetic programming
inferred← citeshttps://doi.org/10.3390/make8100297openalex-snapshot
Rademacher Complexity-Guided Genetic Programming for Interpretable Spectral Index Discovery in UAV-Based Mistletoe Detection
inferred← citeshttps://doi.org/10.70675/2d9d55fazfe07z4a6fz98e2za0036c89002fopenalex-snapshot
Contribution à l'amélioration des techniques de la programmation génétique
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