Fundamentals of Linear Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8834

@InCollection{Banzhaf:2026:raLGP,

• author = "Wolfgang Banzhaf and Ting Hu",
• title = "Fundamentals of Linear Genetic Programming",
• booktitle = "Recent Advances in Linear Genetic Programming",
• publisher = "Springer",
• year = "2026",
• editor = "Wolfgang Banzhaf and Ting Hu",
• chapter = "2",
• pages = "7--22",
• note = "forthcoming",
• keywords = "genetic algorithms, genetic programming, Linear Genetic Programming, LGP, Kolmogorov Complexity",
• abstract = "We formalize the linear representation and illustrate it with a compact 3-input Boolean system that makes genotype, phenotype, fitness, and effectiveness. noneffective code concrete. We discuss search through the lens of evolvability,showing how the structure of the genotype-phenotype map, robustness, and neutrality shape search trajectories and help explain simplicity bias: simpler behaviors occupy larger, better-connected regions of the search space and are therefore more probable under uniform program sampling and more accessible during search. We then discuss briefly a few selected applications and conclude with an outlook on LGP strengths forneuro-symbolic integration and evolutionary search",
• notes = "part of \cite{Banzhaf:2026:raLGP_book}",

}

Genetic Programming entries for Wolfgang Banzhaf Ting Hu

Citations