{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:12:39Z","timestamp":1760148759127,"version":"build-2065373602"},"reference-count":51,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T00:00:00Z","timestamp":1685491200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>The shadowed type-2 fuzzy systems are used more frequently today as they provide an alternative to classical fuzzy logic. The primary purpose of fuzzy logic is to simulate reasoning in a computer. This work aims to use shadowed type-2 fuzzy systems (ST2-FS) to dynamically adapt the crossing parameter of differential evolution (DE). To test the performance of the dynamic crossing parameter, the motor position control problem was used, which contains an interval type-2 fuzzy system (IT2-FS) for controlling the motor. A comparison is made between the original DE and the algorithm using shadowed type-2 fuzzy systems (DE-ST2-FS), as well as a comparison with the results of other state-of-the-art metaheuristics.<\/jats:p>","DOI":"10.3390\/a16060279","type":"journal-article","created":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T04:41:49Z","timestamp":1685508109000},"page":"279","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Shadowed Type-2 Fuzzy Approach for Crossover Parameter Adaptation in Differential Evolution"],"prefix":"10.3390","volume":"16","author":[{"given":"Patricia","family":"Ochoa","sequence":"first","affiliation":[{"name":"Tijuana Institute of Technology, TecNM, Calzada Tecnologico s\/n, Fracc. Tomas Aquino, Tijuana 22379, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6177-6094","authenticated-orcid":false,"given":"Cinthia","family":"Peraza","sequence":"additional","affiliation":[{"name":"Tijuana Institute of Technology, TecNM, Calzada Tecnologico s\/n, Fracc. Tomas Aquino, Tijuana 22379, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7385-5689","authenticated-orcid":false,"given":"Oscar","family":"Castillo","sequence":"additional","affiliation":[{"name":"Tijuana Institute of Technology, TecNM, Calzada Tecnologico s\/n, Fracc. Tomas Aquino, Tijuana 22379, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0370-5562","authenticated-orcid":false,"given":"Zong Woo","family":"Geem","sequence":"additional","affiliation":[{"name":"College of IT Convergence, Gachon University, Seongnam 13120, Republic of Korea"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Rossi, F., Sembiring, J.P., Jayadi, A., Putri, N.U., and Nugroho, P. (2021, January 27\u201328). Implementation of Fuzzy Logic in PLC for Three- Story Elevator Control System. 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