- author = "Karina {Brotto Rebuli} and Leonardo Vanneschi",
- title = "Progressive Insular Cooperative {GP}",
- booktitle = "EuroGP 2021: Proceedings of the 24th European Conference on Genetic Programming",
- year = "2021",
- editor = "Ting Hu and Nuno Lourenco and Eric Medvet",
- series = "LNCS",
- volume = "12691",
- publisher = "Springer Verlag",
- address = "Virtual Event",
- pages = "19--35",
- month = "7-9 " # apr,
- organisation = "EvoStar, Species",
- keywords = "genetic algorithms, genetic programming, Multiclass classification, Cooperative evolution",
- isbn13 = "978-3-030-72811-3",
-
DOI = "
doi:10.1007/978-3-030-72812-0_2",
- abstract = "This work presents a novel genetic programming system for multi-class classification, called progressively insular cooperative genetic programming (PIC GP). Based on the idea that effective multiclass classification can be obtained by appropriately joining classifiers that are highly specialized on the single classes, PIC GP evolves, at the same time, two populations. The first population contains individuals called specialists, and each specialist is optimized on one specific target class. The second population contains higher-level individuals, called teams, that join specialists to obtain the final algorithm prediction. By means of three simple parameters, PIC GP can tune the amount of cooperation between specialists of different classes. The first part of the paper is dedicated to a study of the influence of these parameters on the evolution dynamics. The obtained results indicate that PIC GP achieves the best performance when the evolution begins with a high level of cooperation between specialists of different classes, and then this type of cooperation is progressively decreased, until only specialists of the same class can cooperate between each other. The last part of the work is dedicated to an experimental comparison between PIC GP and a set of state-of-the-art classification algorithms. The presented results indicate that PIC GP outperforms the majority of its competitors on the studied test problems.",
-
notes = "See also
http://hdl.handle.net/10362/107369
Multi-class classification, team GP, multi-branch PIC GP, root is single non-evolving softmax node. Two parent selection. Non interacting island populations (insular). 3 class Iris. CIR=Cooperation Intensity Rate.
http://www.evostar.org/2021/eurogp/ Part of \cite{Hu:2021:GP} EuroGP'2021 held in conjunction with EvoCOP2021, EvoMusArt2021 and EvoApplications2021",
