{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:20:11Z","timestamp":1766269211183,"version":"3.37.3"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003141","name":"Consejo Nacional de Ciencia y Tecnolog\u00eda (CONACyT) Basic Science Project","doi-asserted-by":"publisher","award":["287479"],"award-info":[{"award-number":["287479"]}],"id":[{"id":"10.13039\/501100003141","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004961","name":"Instituto Tecnol\u00f3gico y de Estudios Superiores de Monterrey (ITESM) Research Group with Strategic Focus in Intelligent Systems","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004961","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3169503","type":"journal-article","created":{"date-parts":[[2022,4,22]],"date-time":"2022-04-22T19:34:23Z","timestamp":1650656063000},"page":"43981-44007","source":"Crossref","is-referenced-by-count":15,"title":["Beyond Hyper-Heuristics: A Squared Hyper-Heuristic Model for Solving Job Shop Scheduling Problems"],"prefix":"10.1109","volume":"10","author":[{"given":"Alonso","family":"Vela","sequence":"first","affiliation":[{"name":"School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Nuevo Leon, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4494-7864","authenticated-orcid":false,"given":"Jorge M.","family":"Cruz-Duarte","sequence":"additional","affiliation":[{"name":"School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Nuevo Leon, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3408-2166","authenticated-orcid":false,"given":"Jose Carlos","family":"Ortiz-Bayliss","sequence":"additional","affiliation":[{"name":"School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Nuevo Leon, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8821-7137","authenticated-orcid":false,"given":"Ivan","family":"Amaya","sequence":"additional","affiliation":[{"name":"School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Nuevo Leon, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"102","article-title":"High performance ATP systems by combining several AI methods","volume-title":"Proc. 15th Int. Joint Conf. Artif. Intell. (IJCAI)","author":"Denzinger"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1057\/jors.2013.71"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-96514-7"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2019.07.073"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/app9132654"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2019.8790164"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-017-1095-x"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/sym12081292"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ast.2020.106346"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2019.1911846"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2960492"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10288-011-0182-8"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.05.029"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CEC48606.2020.9185591"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2021.100935"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.01.005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2014.2319051"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3009318"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10951-017-0547-8"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.4204\/EPTCS.306.30"},{"issue":"1","key":"ref21","first-page":"6","article-title":"A hybrid simulated annealing for job shop scheduling problem","volume":"10","author":"Hern\u00e1ndez-Ram\u00edrez","year":"2019","journal-title":"Int. J. Combinat. Optim. Problems Informat."},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-04940-6"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.actaastro.2020.10.020"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-013-4756-9"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1080\/002075497195605"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2010.06.004"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2012.10.016"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1162\/EVCO_a_00183"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI47803.2020.9308131"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2020.100765"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2021.105401"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1080\/0951192X.2021.1925969"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CEC48606.2020.9185709"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3076426"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.01.050"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-017-1350-2"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2761994"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2020.100765"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2020.04.017"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2020.106803"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2020.105017"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106416"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2020.106431"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s10951-005-4781-0"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1613\/jair.2490"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2015.12.006"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CEC48606.2020.9185591"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CEC48606.2020.9185709"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2020.106570"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2019.8790296"},{"key":"ref51","first-page":"37","article-title":"Addressing the gap in scheduling research: A review of optimization and heuristic methods in production scheduling Addressing the gapin scheduling research: A review of optimization and heuristic methods in production scheduling","volume":"31","author":"Taylor","year":"1993","journal-title":"Manuf. Eng."},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-012-1296-x"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1201\/9780429081385-222"},{"key":"ref54","volume-title":"Artificial Intelligence: Methodology, Systems, and Applications","volume":"4183","author":"Klusch","year":"2006"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/4235.985692"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/SIS.2003.1202274"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44629-x_11"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/2576768.2598241"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/2001576.2001752"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.10.045"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-91086-4_14"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.06.014"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09761896.pdf?arnumber=9761896","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T20:58:40Z","timestamp":1705957120000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9761896\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3169503","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2022]]}}}