{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T05:09:09Z","timestamp":1743052149144,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030904241"},{"type":"electronic","value":"9783030904258"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-90425-8_8","type":"book-chapter","created":{"date-parts":[[2021,11,3]],"date-time":"2021-11-03T07:05:02Z","timestamp":1635923102000},"page":"97-108","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Parallel Asynchronous Memetic Optimization for Freeform Optical Design"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1527-7112","authenticated-orcid":false,"given":"Maxim","family":"Sakharov","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8404-7177","authenticated-orcid":false,"given":"Thomas","family":"Houllier","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1102-920X","authenticated-orcid":false,"given":"Thierry","family":"L\u00e9pine","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,11,4]]},"reference":[{"issue":"12","key":"8_CR1","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1063\/1.4823287","volume":"8","author":"D Shafer","year":"1994","unstructured":"Shafer, D.: Global optimization in optical design. Comput. Phys. 8(12), 188\u2013195 (1994)","journal-title":"Comput. Phys."},{"issue":"1","key":"8_CR2","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1007\/s12596-018-0497-3","volume":"48","author":"K H\u00f6schel","year":"2018","unstructured":"H\u00f6schel, K., Lakshminarayanan, V.: Genetic algorithms for lens design: a review. J. Opt. 48(1), 134\u2013144 (2018). https:\/\/doi.org\/10.1007\/s12596-018-0497-3","journal-title":"J. Opt."},{"issue":"13","key":"8_CR3","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.ijleo.2005.06.007","volume":"117","author":"X Cheng","year":"2006","unstructured":"Cheng, X., Yongtian, W., Qun, H., Masaki, I.: Global and local optimization for optical systems. Optik 117(13), 111\u2013117 (2006)","journal-title":"Optik"},{"issue":"19","key":"8_CR4","doi-asserted-by":"publisher","first-page":"2269","DOI":"10.1364\/AO.58.002269","volume":"58","author":"Z Shen","year":"2019","unstructured":"Shen, Z., et al.: Customized design and efficient fabrication of two freeform aluminum mirrors by single point diamond turning technique. Appl. Opt. 58(19), 2269\u20132276 (2019)","journal-title":"Appl. Opt."},{"issue":"13","key":"8_CR5","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1364\/AO.58.000609","volume":"58","author":"Q Meng","year":"2019","unstructured":"Meng, Q., Wang, H., Liang, W., Yan, Z., Wang, B.: Design of off-axis three-mirror systems with ultrawide field of view based on an expansion process of surface freeform and field of view. Appl. Opt. 58(13), 609\u2013615 (2019)","journal-title":"Appl. Opt."},{"issue":"115","key":"8_CR6","doi-asserted-by":"publisher","first-page":"3054","DOI":"10.1364\/AO.51.003054","volume":"51","author":"A Yabe","year":"2012","unstructured":"Yabe, A.: Representation of freeform surfaces suitable for optimization. Appl. Opt. 51(115), 3054\u20133058 (2012)","journal-title":"Appl. Opt."},{"issue":"15","key":"8_CR7","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1515\/aot-2017-0031","volume":"6","author":"A Broemel","year":"2017","unstructured":"Broemel, A., Liu, C., Zhong, Y., Zhang, Y., Gross, H.: Freeform surface descriptions. Part II: application benchmark. Adv. Opt. Technol. 6(15), 337\u2013347 (2017)","journal-title":"Adv. Opt. Technol."},{"key":"8_CR8","doi-asserted-by":"publisher","unstructured":"Neri, F., Cotta, C., Moscato, P.: Handbook of Memetic Algorithms, 368 p. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-23247-3","DOI":"10.1007\/978-3-642-23247-3"},{"key":"8_CR9","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1007\/978-3-030-21803-4_20","volume-title":"Optimization of Complex Systems: Theory, Models, Algorithms and Applications","author":"M Sakharov","year":"2020","unstructured":"Sakharov, M., Karpenko, A.: Parallel multi-memetic global optimization algorithm for optimal control of polyarylenephthalide\u2019s thermally-stimulated luminescence. In: Le Thi, H.A., Le, H.M., Pham Dinh, T. (eds.) WCGO 2019. AISC, vol. 991, pp. 191\u2013201. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-21803-4_20"},{"key":"8_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1007\/978-3-030-04070-3_19","volume-title":"Theory and Practice of Natural Computing","author":"M Sakharov","year":"2018","unstructured":"Sakharov, M., Karpenko, A.: Multi-memetic mind evolutionary computation algorithm based on the landscape analysis. In: Fagan, D., Mart\u00edn-Vide, C., O\u2019Neill, M., Vega-Rodr\u00edguez, M.A. (eds.) TPNC 2018. LNCS, vol. 11324, pp. 238\u2013249. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-04070-3_19"},{"key":"8_CR11","unstructured":"Weise, T.: Global optimization algorithms - theory and application, 758 p. University of Kassel (2008)"},{"key":"8_CR12","doi-asserted-by":"publisher","unstructured":"Mersmann, O., et al.: Exploratory landscape analysis. In: Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, pp.829\u2013836. ACM (2011). https:\/\/doi.org\/10.1145\/2001576.2001690","DOI":"10.1145\/2001576.2001690"},{"issue":"1","key":"8_CR13","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1109\/4235.585893","volume":"1","author":"DH Wolpert","year":"1997","unstructured":"Wolpert, D.H., Macready, W.G.: No free lunch theorems for optimization. IEEE Trans. Evol. Comput. 1(1), 67\u201382 (1997)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"8_CR14","doi-asserted-by":"publisher","first-page":"18940","DOI":"10.1364\/OE.27.018940","volume":"27","author":"T Houllier","year":"2019","unstructured":"Houllier, T., L\u00e9pine, T.: Comparing optimization algorithms for conventional and freeform optical design. Opt. Express 27, 18940\u201318957 (2019)","journal-title":"Opt. Express"},{"key":"8_CR15","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1007\/978-3-030-50097-9_48","volume-title":"Proceedings of the Fourth International Scientific Conference \u201cIntelligent Information Technologies for Industry\u201d (IITI\u201919)","author":"M Sakharov","year":"2020","unstructured":"Sakharov, M., Houllier, T., L\u00e9pine, T.: Mind Evolutionary computation co-algorithm for optimizing optical systems. In: Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds.) IITI 2019. AISC, vol. 1156, pp. 476\u2013486. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-50097-9_48"},{"key":"8_CR16","doi-asserted-by":"publisher","unstructured":"Borguet, B., Moreau, V., Santandrea, S., Versluys, J., Bourdoux, A.: The challenges of broadband performances within a compact imaging spectrometer: the ELOIS solution. In: Proceedings of SPIE, International Conference on Space Optics\u2014ICSO 2020, vol. 11852, p. 118521E (2021). https:\/\/doi.org\/10.1117\/12.2599239","DOI":"10.1117\/12.2599239"},{"key":"8_CR17","doi-asserted-by":"crossref","unstructured":"Karpenko, A.P.: Modern algorithms of search engine optimization. Nature-inspired optimization algorithms, 446 p. Bauman MSTU Publ., Moscow (2014). (in Russian)","DOI":"10.7463\/0111.0164546"},{"issue":"113","key":"8_CR18","doi-asserted-by":"publisher","first-page":"2232","DOI":"10.1016\/j.ins.2009.03.004","volume":"179","author":"E Rashedi","year":"2009","unstructured":"Rashedi, E., Hossein, N.-P., Saeid, S.: GSA: a gravitational search algorithm. Inf. Sci. 179(113), 2232\u20132248 (2009)","journal-title":"Inf. Sci."},{"issue":"14","key":"8_CR19","first-page":"330","volume":"1","author":"X-S Yang","year":"2010","unstructured":"Yang, X.-S., Suash, D.: Engineering optimisation by cuckoo search. Math. Modell. Numer. Optim. 1(14), 330\u2013343 (2010)","journal-title":"Math. Modell. Numer. Optim."},{"issue":"12","key":"8_CR20","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1162\/106365601750190398","volume":"9","author":"N Hansen","year":"2001","unstructured":"Hansen, N., Ostermeier, A.: Completely derandomized self-adaptation in evolution strategies. Evol. Comput. 9(12), 159\u2013195 (2001)","journal-title":"Evol. Comput."},{"issue":"14","key":"8_CR21","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1093\/comjnl\/7.4.308","volume":"7","author":"JA Nelder","year":"1965","unstructured":"Nelder, J.A., Mead, R.: A simplex method for function minimization. Comput. J. 7(14), 308\u2013313 (1965)","journal-title":"Comput. J."},{"key":"8_CR22","doi-asserted-by":"publisher","unstructured":"Chengyi, S., Yan, S., Wanzhen, W.: A survey of MEC: 1998\u20132001. In: 2002 IEEE International Conference on Systems, Man and Cybernetics IEEE SMC2002, Hammamet, Tunisia, 6\u20139 October 2002, vol. 6, pp.445\u2013453. Institute of Electrical and Electronics Engineers Inc. (2002). https:\/\/doi.org\/10.1109\/ICSMC.2002.1175629","DOI":"10.1109\/ICSMC.2002.1175629"},{"key":"8_CR23","unstructured":"Dawkins, R.: The Selfish Gene, 384 p. Oxford University Press (1976)"},{"key":"8_CR24","doi-asserted-by":"publisher","unstructured":"Sakharov, M.K.: New adaptive multi-memetic global optimization algorithm for loosely coupled systems. Herald of the Bauman Moscow State Technical University, Series Instrument Engineering, no. 5, pp. 95\u2013114 (2019). (in Russian). https:\/\/doi.org\/10.18698\/0236-3933-2019-5-95-114","DOI":"10.18698\/0236-3933-2019-5-95-114"},{"issue":"4","key":"8_CR25","doi-asserted-by":"publisher","first-page":"5","DOI":"10.14529\/jsfi180401","volume":"5","author":"MK Sakharov","year":"2018","unstructured":"Sakharov, M.K., Karpenko, A.P.: Adaptive load balancing in the modified mind evolutionary computation algorithm. Supercomput. Front. Innov. 5(4), 5\u201314 (2018). https:\/\/doi.org\/10.14529\/jsfi180401","journal-title":"Supercomput. Front. Innov."},{"key":"8_CR26","doi-asserted-by":"crossref","unstructured":"Gupta, A., Savarese, S., Ganguli, S., Fei-Fei, L.: Embodied intelligence via learning and evolution. https:\/\/arxiv.org\/abs\/2102.02202. Accessed 03 Aug 2021","DOI":"10.1038\/s41467-021-25874-z"}],"container-title":["Lecture Notes in Computer Science","Theory and Practice of Natural Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-90425-8_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T11:14:23Z","timestamp":1710242063000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-90425-8_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030904241","9783030904258"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-90425-8_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"4 November 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"TPNC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on the Theory and Practice of Natural Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tsukuba","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"tpnc2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/irdta.eu\/tpnc2020-2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"14","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"9","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"64% - 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 (provided by the conference organizers)"}},{"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 (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}