@inproceedings{e7a36066b06641ba929d27e1e9c9f8c9,
title = "AutoMoDe-Pomodoro: An Evolutionary Class of Modular Designs",
abstract = "In this paper, we reintroduce evolutionary algorithms into Auto-MoDe, an automatic design approach which optimizes behavioural modules into a probabilistic finite automaton. We evaluate three approaches, with different encodings of the probabilistic finite automaton phenotype, and observe their performances. This work opens modular designs to more advanced evolutionary robotics methods, such as novelty search and embodied evolution.",
keywords = "evolutionary robotics, genetic algorithm, modular design, swarm robotics",
author = "Nicolas Cambier and Eliseo Ferrante",
note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 2022 Genetic and Evolutionary Computation Conference, GECCO 2022 ; Conference date: 09-07-2022 Through 13-07-2022",
year = "2022",
month = jul,
day = "9",
doi = "10.1145/3520304.3529031",
language = "English (US)",
series = "GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference",
publisher = "Association for Computing Machinery, Inc",
pages = "100--103",
booktitle = "GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference",
}