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Starting from a population of individuals with random behavior, we exploit the genetic algorithm NeuroEvolution of augmenting topologies to show how an evolutionary pressure based on the target-search performances of single individuals helps to find the optimal duration of the two different phases. Our findings reveal that the optimal policy strongly depends on the magnitude of the particle\u2019s self-propulsion during the active phase and that a broad spectrum of network topology solutions exists, differing in the number of connections and hidden nodes.<\/jats:p>","DOI":"10.1088\/2632-2153\/ace6f4","type":"journal-article","created":{"date-parts":[[2023,7,12]],"date-time":"2023-07-12T22:45:34Z","timestamp":1689201934000},"page":"035008","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Adaptive active Brownian particles searching for targets of unknown positions"],"prefix":"10.1088","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-9411-3029","authenticated-orcid":true,"given":"Harpreet","family":"Kaur","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6204-7192","authenticated-orcid":true,"given":"Thomas","family":"Franosch","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6567-6923","authenticated-orcid":true,"given":"Michele","family":"Caraglio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"266","published-online":{"date-parts":[[2023,7,20]]},"reference":[{"key":"mlstace6f4bib1","doi-asserted-by":"publisher","DOI":"10.1088\/0034-4885\/75\/4\/042601","volume":"75","author":"Cates","year":"2012","journal-title":"Rep. 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