{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T15:13:39Z","timestamp":1781622819572,"version":"3.54.5"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2018,8,28]],"date-time":"2018-08-28T00:00:00Z","timestamp":1535414400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,8,28]],"date-time":"2018-08-28T00:00:00Z","timestamp":1535414400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Evolving Systems"],"published-print":{"date-parts":[[2020,9]]},"DOI":"10.1007\/s12530-018-9250-z","type":"journal-article","created":{"date-parts":[[2018,8,28]],"date-time":"2018-08-28T21:40:41Z","timestamp":1535492441000},"page":"531-539","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Sonar inspired optimization (SIO) in engineering applications"],"prefix":"10.1007","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1319-513X","authenticated-orcid":false,"given":"Alexandros","family":"Tzanetos","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georgios","family":"Dounias","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,8,28]]},"reference":[{"key":"9250_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-012064155-0\/50012-4","volume-title":"Introduction to optimum design","author":"J Arora","year":"2004","unstructured":"Arora J (2004) Introduction to optimum design. Academic Press, Cambridge"},{"issue":"9","key":"9250_CR2","doi-asserted-by":"publisher","first-page":"1583","DOI":"10.1002\/nme.1620210904","volume":"21","author":"AD Belegundu","year":"1985","unstructured":"Belegundu AD, Arora JS (1985) A study of mathematical programming methods for structural optimization. Part I: theory. Int J Numer Meth Eng 21(9):1583\u20131599","journal-title":"Int J Numer Meth Eng"},{"issue":"3","key":"9250_CR3","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1023\/A:1022452626305","volume":"25","author":"\u015e\u0130 Birbil","year":"2003","unstructured":"Birbil \u015e\u0130, Fang SC (2003) An electromagnetism-like mechanism for global optimization. J Gl Opt 25(3):263\u2013282","journal-title":"J Gl Opt"},{"key":"9250_CR4","volume-title":"Nature-inspired algorithms for optimisation","year":"2009","unstructured":"Chiong R (ed) (2009) Nature-inspired algorithms for optimisation (vol 193). Springer, Berlin"},{"issue":"2","key":"9250_CR5","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/S0166-3615(99)00046-9","volume":"41","author":"CAC Coello","year":"2000","unstructured":"Coello CAC (2000) Use of a self-adaptive penalty approach for engineering optimization problems. Comput Ind 41(2):113\u2013127","journal-title":"Comput Ind"},{"issue":"4","key":"9250_CR6","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1080\/02630250008970288","volume":"17","author":"CA Coello Coello","year":"2000","unstructured":"Coello Coello CA (2000) Constraint-handling using an evolutionary multiobjective optimization technique. Civ Eng Syst 17(4):319\u2013346","journal-title":"Civ Eng Syst"},{"issue":"12","key":"9250_CR7","doi-asserted-by":"publisher","first-page":"3556","DOI":"10.1166\/asl.2013.5236","volume":"19","author":"B Crawford","year":"2013","unstructured":"Crawford B, Valenzuela C, Soto R, Monfroy E, Paredes F (2013) Parameter tuning of metaheuristics using metaheuristics. Adv Sci Lett 19(12):3556\u20133559","journal-title":"Adv Sci Lett"},{"issue":"11","key":"9250_CR8","doi-asserted-by":"publisher","first-page":"2013","DOI":"10.2514\/3.10834","volume":"29","author":"K Deb","year":"1991","unstructured":"Deb K (1991) Optimal design of a welded beam via genetic algorithms. AIAA J 29(11):2013\u20132015","journal-title":"AIAA J"},{"issue":"2","key":"9250_CR9","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1016\/S0045-7825(99)00389-8","volume":"186","author":"K Deb","year":"2000","unstructured":"Deb K (2000) An efficient constraint handling method for genetic algorithms. Comput Methods Appl Mech Eng 186(2):311\u2013338","journal-title":"Comput Methods Appl Mech Eng"},{"issue":"6","key":"9250_CR10","first-page":"497","volume":"2","author":"M Fallahi","year":"2014","unstructured":"Fallahi M, Amiri S, Yaghini M (2014) A parameter tuning methodology for metaheuristics based on design of experiments. Int J Eng Tech Sci 2(6):497\u2013521","journal-title":"Int J Eng Tech Sci"},{"issue":"3","key":"9250_CR11","first-page":"116","volume":"80","author":"I Fister Jr","year":"2013","unstructured":"Fister I Jr, Yang XS, Fister I, Brest J, Fister D (2013) A brief review of nature-inspired algorithms for optimization. Elektrotehni\u0161ki vestnik 80(3):116\u2013122","journal-title":"Elektrotehni\u0161ki vestnik"},{"issue":"1","key":"9250_CR12","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.engappai.2006.03.003","volume":"20","author":"Q He","year":"2007","unstructured":"He Q, Wang L (2007) An effective co-evolutionary particle swarm optimization for constrained engineering design problems. Eng Appl Artif Intell 20(1):89\u201399","journal-title":"Eng Appl Artif Intell"},{"issue":"1","key":"9250_CR13","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/j.amc.2006.07.105","volume":"186","author":"FZ Huang","year":"2007","unstructured":"Huang FZ, Wang L, He Q (2007) An effective co-evolutionary differential evolution for constrained optimization. Appl Math Comput 186(1):340\u2013356","journal-title":"Appl Math Comput"},{"issue":"3","key":"9250_CR14","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1007\/s00707-009-0270-4","volume":"213","author":"A Kaveh","year":"2010","unstructured":"Kaveh A, Talatahari S (2010) A novel heuristic optimization method: charged system search. Acta Mech 213(3):267\u2013289","journal-title":"Acta Mech"},{"key":"9250_CR15","volume-title":"Swarm intelligence","author":"JF Kennedy","year":"2001","unstructured":"Kennedy JF, Kennedy J, Eberhart RC, Shi Y (2001) Swarm intelligence. Morgan Kaufmann, Burlington"},{"issue":"36","key":"9250_CR16","doi-asserted-by":"publisher","first-page":"3902","DOI":"10.1016\/j.cma.2004.09.007","volume":"194","author":"KS Lee","year":"2005","unstructured":"Lee KS, Geem ZW (2005) A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice. Comput Methods Appl Mech Eng 194(36):3902\u20133933","journal-title":"Comput Methods Appl Mech Eng"},{"issue":"10","key":"9250_CR17","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1145\/1164394.1164395","volume":"49","author":"J Liu","year":"2006","unstructured":"Liu J, Tsui KC (2006) Toward nature-inspired computing. Commun ACM 49(10):59\u201364","journal-title":"Commun ACM"},{"key":"9250_CR18","volume-title":"An introduction to underwater acoustics: principles and applications","author":"X Lurton","year":"2002","unstructured":"Lurton X (2002) An introduction to underwater acoustics: principles and applications. Springer Science & Business Media, Berlin"},{"issue":"2","key":"9250_CR19","doi-asserted-by":"crossref","first-page":"1567","DOI":"10.1016\/j.amc.2006.11.033","volume":"188","author":"M Mahdavi","year":"2007","unstructured":"Mahdavi M, Fesanghary M, Damangir E (2007) An improved harmony search algorithm for solving optimization problems. Appl Math Comput 188(2):1567\u20131579","journal-title":"Appl Math Comput"},{"issue":"4","key":"9250_CR20","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1023\/A:1026746406754","volume":"18","author":"P Marrow","year":"2000","unstructured":"Marrow P (2000) Nature-inspired computing technology and applications. BT Technol J 18(4):13\u201323","journal-title":"BT Technol J"},{"issue":"4","key":"9250_CR21","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1080\/03081070701303470","volume":"37","author":"E Mezura-Montes","year":"2008","unstructured":"Mezura-Montes E, Coello CAC (2008) An empirical study about the usefulness of evolution strategies to solve constrained optimization problems. Int J Gen Syst 37(4):443\u2013473","journal-title":"Int J Gen Syst"},{"key":"9250_CR22","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili S, Mirjalili SM, Lewis A (2014) Grey wolf optimizer. Adv Eng Softw 69:46\u201361","journal-title":"Adv Eng Softw"},{"key":"9250_CR23","doi-asserted-by":"crossref","unstructured":"Nasir ANK, Tokhi MO, Abd Ghani NM, Raja Ismail RMT (2012) Novel adaptive spiral dynamics algorithms for global optimization. In: 11th IEEE international conference on cybernetic intelligent systems (CIS), pp\u00a099\u2013104. IEEE Press, Ireland","DOI":"10.1109\/CIS.2013.6782163"},{"issue":"6","key":"9250_CR24","doi-asserted-by":"publisher","first-page":"1033","DOI":"10.1006\/bulm.2002.0314","volume":"64","author":"M Nilsson","year":"2002","unstructured":"Nilsson M, Snoad N (2002) Optimal mutation rates in dynamic environments. Bull Math Biol 64(6):1033\u20131043","journal-title":"Bull Math Biol"},{"issue":"3","key":"9250_CR25","doi-asserted-by":"publisher","first-page":"1021","DOI":"10.1115\/1.3438995","volume":"98","author":"KM Ragsdell","year":"1976","unstructured":"Ragsdell KM, Phillips DT (1976) Optimal design of a class of welded structures using geometric programming. J Eng Ind 98(3):1021\u20131025","journal-title":"J Eng Ind"},{"issue":"13","key":"9250_CR26","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, Nezamabadi-Pour H, Saryazdi S (2009) GSA: a gravitational search algorithm. Inf Sci 179(13):2232\u20132248","journal-title":"Inf Sci"},{"issue":"1\u20132","key":"9250_CR27","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1504\/IJBIC.2009.022775","volume":"1","author":"H Shah-Hosseini","year":"2009","unstructured":"Shah-Hosseini H (2009) The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm. Int J Bio-Insp Comp 1(1\u20132):71\u201379","journal-title":"Int J Bio-Insp Comp"},{"key":"9250_CR28","doi-asserted-by":"crossref","unstructured":"Tzanetos A, Dounias G (2017a) A new metaheuristic method for optimization: sonar inspired optimization. In: International conference on engineering applications of neural networks (pp\u00a0417\u2013428). Springer, Cham","DOI":"10.1007\/978-3-319-65172-9_35"},{"issue":"06","key":"9250_CR29","doi-asserted-by":"publisher","first-page":"1750022","DOI":"10.1142\/S0218213017500221","volume":"26","author":"A Tzanetos","year":"2017","unstructured":"Tzanetos A, Dounias G (2017b) Nature inspired optimization algorithms related to physical phenomena and laws of science: a survey. Int J Artif Intell Tools 26(06):1750022","journal-title":"Int J Artif Intell Tools"},{"issue":"04","key":"9250_CR30","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1142\/S021821300900024X","volume":"18","author":"V Vassiliadis","year":"2009","unstructured":"Vassiliadis V, Dounias G (2009) Nature\u2013inspired intelligence: a review of selected methods and applications. Int J Artif Int Tools 18(04):487\u2013516","journal-title":"Int J Artif Int Tools"},{"key":"9250_CR31","volume-title":"Nature-inspired metaheuristic algorithms","author":"XS Yang","year":"2010","unstructured":"Yang XS (2010) Nature-inspired metaheuristic algorithms. Luniver press, Frome"},{"key":"9250_CR32","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4172\/2324-9307.1000e101","volume":"1","author":"XS Yang","year":"2012","unstructured":"Yang XS (2012) Nature-inspired metaheuristic algorithms: success and new challenges. J Comput Eng Inf Technol 1:1\u20132","journal-title":"J Comput Eng Inf Technol"},{"issue":"7\u20138","key":"9250_CR33","doi-asserted-by":"publisher","first-page":"2051","DOI":"10.1007\/s00521-013-1498-4","volume":"23","author":"XS Yang","year":"2013","unstructured":"Yang XS, Deb S, Loomes M, Karamanoglu M (2013) A framework for self-tuning optimization algorithm. Neural Comp App 23(7\u20138):2051\u20132057","journal-title":"Neural Comp App"}],"container-title":["Evolving Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-018-9250-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12530-018-9250-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-018-9250-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,30]],"date-time":"2022-08-30T18:44:46Z","timestamp":1661885086000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12530-018-9250-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,28]]},"references-count":33,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,9]]}},"alternative-id":["9250"],"URL":"https:\/\/doi.org\/10.1007\/s12530-018-9250-z","relation":{},"ISSN":["1868-6478","1868-6486"],"issn-type":[{"value":"1868-6478","type":"print"},{"value":"1868-6486","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,8,28]]},"assertion":[{"value":"5 January 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 August 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 August 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}