- author = "Pantia-Marina Alchirch and Dimitrios I. Diochnos and Katia Papakonstantinopoulou",
- title = "Evolving Monotone Conjunctions in Regimes Beyond Proved Convergence",
- booktitle = "EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming",
- year = "2022",
- editor = "Eric Medvet and Gisele Pappa and Bing Xue",
- series = "LNCS",
- volume = "13223",
- publisher = "Springer Verlag",
- address = "Madrid, Spain",
- pages = "228--244",
- month = "20-22 " # apr,
- organisation = "EvoStar, Species",
- keywords = "genetic algorithms, genetic programming: Poster, Evolvability, Monotone conjunctions, Distribution-specific learning, Bernoulli (p)**n distributions",
- isbn13 = "978-3-031-02055-1",
-
DOI = "
10.1007/978-3-031-02056-8_15",
- abstract = "Recently it was shown, using the typical mutation mechanism that is used in evolutionary algorithms, that monotone conjunctions are provably evolvable under a specific set of Bernoulli (p)n distributions. A natural question is whether this mutation mechanism allows convergence under other distributions as well. Our experiments indicate that the answer to this question is affirmative and, at the very least, this mechanism converges under Bernoulli (p)n distributions outside of the known proved regime.",
-
notes = "Athens University of Economics and Business (TESLAB),
Athens, Greece
http://www.evostar.org/2022/eurogp/ Part of \cite{Medvet:2022:GP} EuroGP'2022 held inconjunction with EvoApplications2022 EvoCOP2022 EvoMusArt2022",
