Regulatory genotype-to-phenotype mappings improve evolvability in genetic programming-Reference-Cited by-同舟云学术

Regulatory genotype-to-phenotype mappings improve evolvability in genetic programming

Published:2022-07-09 Issue: Volume: Page:
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Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
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Author:

Zhang Jinting¹,Hu Ting¹

Affiliation:

1. Queen's University, Kingston, ON, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3520304.3529043

Reference11 articles.

1. Markus Brameier and Wolfgang Banzhaf . 2007. Linear Genetic Programming . Springer . Markus Brameier and Wolfgang Banzhaf. 2007. Linear Genetic Programming. Springer.

2. Ting Hu and Wolfgang Banzhaf . 2016 . Quantitative analysis of evolvability using vertex centralities in phenotype network . In Proceedings of the Genetic and Evolutionary Computation Conference 2016. 733--740. Ting Hu and Wolfgang Banzhaf. 2016. Quantitative analysis of evolvability using vertex centralities in phenotype network. In Proceedings of the Genetic and Evolutionary Computation Conference 2016. 733--740.

3. Ting Hu and Wolfgang Banzhaf . 2018. Neutrality , robustness, and evolvability in genetic programming . In Genetic Programming Theory and Practice XIV, R Riolo, B Worzel, B Goldman, and B Tozier (Eds.). Springer , Chapter 7, 101--117. Ting Hu and Wolfgang Banzhaf. 2018. Neutrality, robustness, and evolvability in genetic programming. In Genetic Programming Theory and Practice XIV, R Riolo, B Worzel, B Goldman, and B Tozier (Eds.). Springer, Chapter 7, 101--117.

4. The Effects of Recombination on Phenotypic Exploration and Robustness in Evolution

5. Complex Network Analysis of a Genetic Programming Phenotype Network

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