{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:00:31Z","timestamp":1742961631703,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030166915"},{"type":"electronic","value":"9783030166922"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-16692-2_5","type":"book-chapter","created":{"date-parts":[[2019,4,9]],"date-time":"2019-04-09T19:44:24Z","timestamp":1554839064000},"page":"64-71","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Hybrid Multiobjective Differential Evolution Approach to Stator Winding Optimization"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8726-3222","authenticated-orcid":false,"given":"Andr\u00e9 M.","family":"Silva","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1823-2892","authenticated-orcid":false,"given":"Fernando J. T. E.","family":"Ferreira","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4754-2168","authenticated-orcid":false,"given":"Carlos Henggeler","family":"Antunes","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,3,30]]},"reference":[{"issue":"1","key":"5_CR1","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1109\/TEC.2017.2751588","volume":"33","author":"A Tessarolo","year":"2018","unstructured":"Tessarolo, A.: A quadratic-programming approach to the design optimization of fractional-slot concentrated windings for surface permanent-magnet machines. IEEE Trans. Energy Convers. 33(1), 442\u2013452 (2018)","journal-title":"IEEE Trans. Energy Convers."},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Smith, A.C., Delgado, D.: Automated AC winding design. In: 5th IET International Conference on Power Electronics, Machines and Drives (PEMD 2010), pp. 1\u20136, April 2010","DOI":"10.1049\/cp.2010.0132"},{"issue":"3","key":"5_CR3","doi-asserted-by":"publisher","first-page":"1153","DOI":"10.1109\/TEC.2016.2552546","volume":"31","author":"N Bekka","year":"2016","unstructured":"Bekka, N., Za\u00efm, M.E.H., Bernard, N., Trichet, D.: A novel methodology for optimal design of fractional slot with concentrated windings. IEEE Trans. Energy Convers. 31(3), 1153\u20131160 (2016)","journal-title":"IEEE Trans. Energy Convers."},{"key":"5_CR4","doi-asserted-by":"crossref","unstructured":"Silva, A.M., Ferreira, F.J.T.E., Falc\u00e1o, G.F., Rodrigues, M.: Novel method to minimize the air-gap MMF spatial harmonic content in three-phase windings. In: 2018 XIII International Conference on Electrical Machines (ICEM), pp. 2504\u20132510, September 2018","DOI":"10.1109\/ICELMACH.2018.8507206"},{"key":"5_CR5","unstructured":"Vesterstrom, J., Thomsen, R.: A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems. In: Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No. 04TH8753), vol. 2, pp. 1980\u20131987, June 2004"},{"issue":"1","key":"5_CR6","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1109\/TIE.2009.2033489","volume":"57","author":"N Salvatore","year":"2010","unstructured":"Salvatore, N., Caponio, A., Neri, F., Stasi, S., Cascella, G.L.: Optimization of delayed-state kalman-filter-based algorithm via differential evolution for sensorless control of induction motors. IEEE Trans. Industr. Electron. 57(1), 385\u2013394 (2010)","journal-title":"IEEE Trans. Industr. Electron."},{"key":"5_CR7","unstructured":"Pan, X., Zhu, J., Chen, H., Chen, X., Hu, K.: A differential evolution-based hybrid NSGA-II for multi-objective optimization. In: 2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), pp. 81\u201386 (2015)"},{"issue":"2","key":"5_CR8","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182\u2013197 (2002)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"5_CR9","series-title":"Natural Computing Series","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-31306-0","volume-title":"Differential Evolution: A Practical Approach","author":"KV Price","year":"2005","unstructured":"Price, K.V., Storn, R.M., Lampinen, J.A.: Differential Evolution: A Practical Approach. NCS. Springer, Heidelberg (2005). \n                      https:\/\/doi.org\/10.1007\/3-540-31306-0"},{"issue":"3","key":"5_CR10","doi-asserted-by":"publisher","first-page":"514","DOI":"10.1109\/TEVC.2008.2009032","volume":"13","author":"YG Woldesenbet","year":"2009","unstructured":"Woldesenbet, Y.G., Yen, G.G., Tessema, B.G.: Constraint handling in multiobjective evolutionary optimization. IEEE Trans. Evol. Comput. 13(3), 514\u2013525 (2009)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"5_CR11","doi-asserted-by":"publisher","unstructured":"Sarker, R., Coello Coello, C.A.: Assessment Methodologies for Multiobjective Evolutionary Algorithms, vol. 48, pp. 177\u2013195. Springer, Boston (2002). \n                      https:\/\/doi.org\/10.1007\/0-306-48041-7_7","DOI":"10.1007\/0-306-48041-7_7"},{"issue":"4","key":"5_CR12","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1109\/4235.797969","volume":"3","author":"E Zitzler","year":"1999","unstructured":"Zitzler, E., Thiele, L.: Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach. IEEE Trans. Evol. Comput. 3(4), 257\u2013271 (1999)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"Riquelme, N., L\u00fccken, C.V., Baran, B.: Performance metrics in multi-objective optimization. In: 2015 Latin American Computing Conference (CLEI), pp. 1\u201311, October 2015","DOI":"10.1109\/CLEI.2015.7360024"},{"key":"5_CR14","doi-asserted-by":"publisher","first-page":"584","DOI":"10.1007\/3-540-61723-X_1022","volume-title":"Parallel Problem Solving from Nature \u2013 PPSN IV","author":"CM Fonseca","year":"1996","unstructured":"Fonseca, C.M., Fleming, P.J.: On the performance assessment and comparison of stochastic multiobjective optimizers. In: Voigt, H.M., Ebeling, W., Rechenberg, I., Schwefel, H.P. (eds.) Parallel Problem Solving from Nature \u2013 PPSN IV, pp. 584\u2013593. Springer, Heidelberg (1996). \n                      https:\/\/doi.org\/10.1007\/3-540-61723-X_1022"},{"issue":"3","key":"5_CR15","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1109\/5326.704576","volume":"28","author":"H Ishibuchi","year":"1998","unstructured":"Ishibuchi, H., Murata, T.: A multi-objective genetic local search algorithm and its application to flowshop scheduling. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 28(3), 392\u2013403 (1998)","journal-title":"IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.)"},{"issue":"3","key":"5_CR16","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1109\/TEVC.2007.900837","volume":"12","author":"S Bandyopadhyay","year":"2008","unstructured":"Bandyopadhyay, S., Saha, S., Maulik, U., Deb, K.: A simulated annealing-based multiobjective optimization algorithm: amosa. IEEE Trans. Evol. Comput. 12(3), 269\u2013283 (2008)","journal-title":"IEEE Trans. Evol. Comput."}],"container-title":["Lecture Notes in Computer Science","Applications of Evolutionary Computation"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-16692-2_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T09:03:03Z","timestamp":1558342983000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-16692-2_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030166915","9783030166922"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-16692-2_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"30 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EvoApplications","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on the Applications of Evolutionary Computation (Part of EvoStar)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Leipzig","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 April 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"evoapplications2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.evostar.org\/2019\/cfp_evoapps.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"MyReview","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"66","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"44","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"24","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"67% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}