{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T04:45:59Z","timestamp":1775277959697,"version":"3.50.1"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2017,6,2]],"date-time":"2017-06-02T00:00:00Z","timestamp":1496361600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61603244"],"award-info":[{"award-number":["61603244"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Artif Intell Rev"],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1007\/s10462-017-9562-6","type":"journal-article","created":{"date-parts":[[2017,6,2]],"date-time":"2017-06-02T10:17:14Z","timestamp":1496398634000},"page":"219-253","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["Differential evolution algorithm with strategy adaptation and knowledge-based control parameters"],"prefix":"10.1007","volume":"51","author":[{"given":"Qinqin","family":"Fan","sequence":"first","affiliation":[]},{"given":"Weili","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xuefeng","family":"Yan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,6,2]]},"reference":[{"key":"9562_CR1","doi-asserted-by":"crossref","unstructured":"Abbass HA (2002) The self-adaptive pareto differential evolution algorithm. In: Proceedings of the 2002 congress on evolutionary computation, pp 831\u2013836","DOI":"10.1109\/CEC.2002.1007033"},{"key":"9562_CR2","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1109\/TEVC.2014.2313659","volume":"19","author":"S Biswas","year":"2015","unstructured":"Biswas S, Kundu S, Das S (2015) Inducing niching behavior in differential evolution through local information sharing. IEEE Trans Evolut Comput 19:246\u2013263","journal-title":"IEEE Trans Evolut Comput"},{"key":"9562_CR3","doi-asserted-by":"publisher","first-page":"646","DOI":"10.1109\/TEVC.2006.872133","volume":"10","author":"J Brest","year":"2006","unstructured":"Brest J, Greiner S, Bo\u0161kovi\u0107 B, Mernik M, Zumer V (2006) Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems. IEEE Trans Evolut Comput 10:646\u2013657","journal-title":"IEEE Trans Evolut Comput"},{"key":"9562_CR4","doi-asserted-by":"crossref","unstructured":"Chen L, Zheng Z, Liu H-L, Xie S (2014) An evolutionary algorithm based on covariance matrix leaning and searching preference for solving CEC 2014 benchmark problems. In: Proceedings of the 2014 congress on evolutionary computation, pp 2672\u20132677","DOI":"10.1109\/CEC.2014.6900594"},{"key":"9562_CR5","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.cor.2015.09.006","volume":"67","author":"L Cui","year":"2016","unstructured":"Cui L, Li G, Lin Q, Chen J, Lu N (2016) Adaptive differential evolution algorithm with novel mutation strategies in multiple sub-populations. Comput Oper Res 67:155\u2013173","journal-title":"Comput Oper Res"},{"key":"9562_CR6","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/TEVC.2010.2059031","volume":"15","author":"S Das","year":"2011","unstructured":"Das S, Suganthan PN (2011) Differential evolution: a survey of the state-of-the-art. IEEE Trans Evolut Comput 15:4\u201331","journal-title":"IEEE Trans Evolut Comput"},{"key":"9562_CR7","doi-asserted-by":"crossref","unstructured":"Das S, Konar A, Chakraborty UK (2005) Two improved differential evolution schemes for faster global search. In: Proceedings of the 2005 conference on genetic and evolutionary computation, 2005. ACM, pp 991\u2013998","DOI":"10.1145\/1068009.1068177"},{"key":"9562_CR8","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1080\/01621459.1961.10482090","volume":"56","author":"OJ Dunn","year":"1961","unstructured":"Dunn OJ (1961) Multiple comparisons among means. J Am Stat Assoc 56:52\u201364","journal-title":"J Am Stat Assoc"},{"key":"9562_CR9","doi-asserted-by":"crossref","unstructured":"Elsayed SM, Sarker RA, Essam DL, Hamza NM (2014) Testing united multi-operator evolutionary algorithms on the CEC2014 real-parameter numerical optimization. In: Proceedings of the 2014 congress on evolutionary computation, pp 1650\u20131657","DOI":"10.1109\/CEC.2014.6900308"},{"key":"9562_CR10","doi-asserted-by":"crossref","unstructured":"Erlich I, Rueda JL, Wildenhues S, Shewarega F (2014) Evaluating the mean-variance mapping optimization on the IEEE-CEC 2014 test suite. In: Proceedings of the 2014 congress on evolutionary computation, pp 1625\u20131632","DOI":"10.1109\/CEC.2014.6900516"},{"key":"9562_CR11","doi-asserted-by":"publisher","first-page":"1363","DOI":"10.1007\/s00500-014-1349-y","volume":"19","author":"Q Fan","year":"2015","unstructured":"Fan Q, Yan X (2015) Differential evolution algorithm with self-adaptive strategy and control parameters for P-xylene oxidation process optimization. Soft Comput 19:1363\u20131391","journal-title":"Soft Comput"},{"key":"9562_CR12","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1109\/TCYB.2015.2399478","volume":"46","author":"Q Fan","year":"2016","unstructured":"Fan Q, Yan X (2016) Self-adaptive differential evolution algorithm with zoning evolution of control parameters and adaptive mutation strategies. IEEE Trans Cybern 46:219\u2013232","journal-title":"IEEE Trans Cybern"},{"key":"9562_CR13","unstructured":"Fan Q, Yan X, Xue Y (2016) Prior knowledge guided differential evolution. Soft Comput :1\u201318"},{"key":"9562_CR14","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1080\/01621459.1937.10503522","volume":"32","author":"M Friedman","year":"1937","unstructured":"Friedman M (1937) The use of ranks to avoid the assumption of normality implicit in the analysis of variance. J Am Stat Assoc 32:675\u2013701","journal-title":"J Am Stat Assoc"},{"key":"9562_CR15","first-page":"293","volume":"10","author":"R G\u00e4mperle","year":"2002","unstructured":"G\u00e4mperle R, M\u00fcller SD, Koumoutsakos P (2002) A parameter study for differential evolution. Adv Intell Syst Fuzzy Syst Evolut Comput 10:293\u2013298","journal-title":"Adv Intell Syst Fuzzy Syst Evolut Comput"},{"key":"9562_CR16","doi-asserted-by":"publisher","first-page":"1314","DOI":"10.1109\/TCYB.2013.2282491","volume":"44","author":"W Gao","year":"2014","unstructured":"Gao W, Yen GG, Liu S (2014) A cluster-based differential evolution with self-adaptive strategy for multimodal optimization. IEEE Trans Cybern 44:1314\u20131327","journal-title":"IEEE Trans Cybern"},{"key":"9562_CR17","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1007\/s10732-008-9080-4","volume":"15","author":"S Garc\u00eda","year":"2009","unstructured":"Garc\u00eda S, Molina D, Lozano M, Herrera F (2009) A study on the use of non-parametric tests for analyzing the evolutionary algorithms\u2019 behaviour: a case study on the CEC\u20192005 special session on real parameter optimization. J Heuristics 15:617\u2013644","journal-title":"J Heuristics"},{"key":"9562_CR18","doi-asserted-by":"publisher","first-page":"3749","DOI":"10.1016\/j.ins.2011.03.010","volume":"181","author":"A Ghosh","year":"2011","unstructured":"Ghosh A, Das S, Chowdhury A, Giri R (2011) An improved differential evolution algorithm with fitness-based adaptation of the control parameters. Inf Sci 181:3749\u20133765","journal-title":"Inf Sci"},{"key":"9562_CR19","doi-asserted-by":"publisher","first-page":"2066","DOI":"10.1109\/TCYB.2013.2239988","volume":"43","author":"W Gong","year":"2013","unstructured":"Gong W, Cai Z (2013) Differential evolution with ranking-based mutation operators. IEEE Trans Cybern 43:2066\u20132081","journal-title":"IEEE Trans Cybern"},{"key":"9562_CR20","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.asoc.2013.11.005","volume":"15","author":"W Gong","year":"2014","unstructured":"Gong W, Cai Z, Wang Y (2014) Repairing the crossover rate in adaptive differential evolution. Appl Soft Comput 15:149\u2013168","journal-title":"Appl Soft Comput"},{"key":"9562_CR21","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1109\/TEVC.2015.2449293","volume":"19","author":"W Gong","year":"2015","unstructured":"Gong W, Zhou A, Cai Z (2015) A multioperator search strategy based on cheap surrogate models for evolutionary optimization. IEEE Trans Evolut Comput 19:746\u2013758","journal-title":"IEEE Trans Evolut Comput"},{"key":"9562_CR22","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1109\/TEVC.2014.2375933","volume":"19","author":"S-M Guo","year":"2015","unstructured":"Guo S-M, Yang C-C (2015) Enhancing differential evolution utilizing eigenvector-based crossover operator. IEEE Trans Evolut Comput 19:31\u201349","journal-title":"IEEE Trans Evolut Comput"},{"key":"9562_CR23","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1109\/TEVC.2014.2375933","volume":"19","author":"S-M Guo","year":"2015","unstructured":"Guo S-M, Yang C-C, Hsu P-H, Tsai JS-H (2015) Improving differential evolution with a successful-parent-selecting framework. IEEE Trans Evolut Comput 19:717\u2013730","journal-title":"IEEE Trans Evolut Comput"},{"key":"9562_CR24","unstructured":"Hansen N, Auger A, Finck S, Ros R (2012) Real-parameter black-box optimization benchmarking 2012: experimental setup. In: Proceedings of the 14th annual conference on genetic and evolutionary computation"},{"key":"9562_CR25","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1016\/S1004-9541(08)60199-8","volume":"17","author":"C Hu","year":"2009","unstructured":"Hu C, Yan X (2009) An immune self-adaptive differential evolution algorithm with application to estimate kinetic parameters for homogeneous mercury oxidation. Chinese J Chem Eng 17:232\u2013240","journal-title":"Chinese J Chem Eng"},{"key":"9562_CR26","doi-asserted-by":"publisher","first-page":"482","DOI":"10.1109\/TSMCB.2011.2167966","volume":"42","author":"SM Islam","year":"2012","unstructured":"Islam SM, Das S, Ghosh S, Roy S, Suganthan PN (2012) An adaptive differential evolution algorithm with novel mutation and crossover strategies for global numerical optimization. IEEE T Syst Man Cybern Part B 42:482\u2013500","journal-title":"IEEE T Syst Man Cybern Part B"},{"key":"9562_CR27","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.cor.2013.12.009","volume":"52","author":"D Kova\u010devi\u0107","year":"2014","unstructured":"Kova\u010devi\u0107 D, Mladenovi\u0107 N, Petrovi\u0107 B, Milo\u0161evi\u0107 P (2014) DE-VNS: self-adaptive differential evolution with crossover neighborhood search for continuous global optimization. Comput Oper Res 52:157\u2013169","journal-title":"Comput Oper Res"},{"key":"9562_CR28","doi-asserted-by":"publisher","first-page":"1798","DOI":"10.1109\/TCYB.2014.2360752","volume":"45","author":"Y-L Li","year":"2015","unstructured":"Li Y-L, Zhan Z-H, Gong Y-J, Chen W-N, Zhang J, Li Y (2015) Differential evolution with an evolution path: a DEEP evolutionary algorithm. IEEE Trans Cybern 45:1798\u20131810","journal-title":"IEEE Trans Cybern"},{"key":"9562_CR29","volume-title":"Problem definitions and evaluation criteria for the CEC 2014 special session and competition on single objective real-parameter numerical optimization Computational Intelligence Laboratory","author":"J Liang","year":"2013","unstructured":"Liang J, Qu B, Suganthan P (2013) Problem definitions and evaluation criteria for the CEC 2014 special session and competition on single objective real-parameter numerical optimization Computational Intelligence Laboratory. Zhengzhou University, Zhengzhou China and Technical Report, Nanyang Technological University, Singapore"},{"key":"9562_CR30","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1007\/s00500-004-0363-x","volume":"9","author":"J Liu","year":"2005","unstructured":"Liu J, Lampinen J (2005) A fuzzy adaptive differential evolution algorithm. Soft Comput 9:448\u2013462","journal-title":"Soft Comput"},{"key":"9562_CR31","doi-asserted-by":"publisher","first-page":"1679","DOI":"10.1016\/j.asoc.2010.04.024","volume":"11","author":"R Mallipeddi","year":"2011","unstructured":"Mallipeddi R, Suganthan PN, Pan Q-K, Tasgetiren MF (2011) Differential evolution algorithm with ensemble of parameters and mutation strategies. Appl Soft Comput 11:1679\u20131696","journal-title":"Appl Soft Comput"},{"key":"9562_CR32","doi-asserted-by":"crossref","unstructured":"Mallipeddi R, Wu G, Lee M, Suganthan P (2014) Gaussian adaptation based parameter adaptation for differential evolution. In: IEEE congress on evolutionary computation, pp 1760\u20131767","DOI":"10.1109\/CEC.2014.6900601"},{"key":"9562_CR33","doi-asserted-by":"publisher","first-page":"7132","DOI":"10.1016\/j.eswa.2015.05.015","volume":"42","author":"H Mokhtari","year":"2015","unstructured":"Mokhtari H, Salmasnia A (2015) A Monte Carlo simulation based chaotic differential evolution algorithm for scheduling a stochastic parallel processor system. Expert Syst Appl 42:7132\u20137147","journal-title":"Expert Syst Appl"},{"key":"9562_CR34","doi-asserted-by":"crossref","unstructured":"Molina D, Lacroix B, Herrera F (2014) Influence of regions on the memetic algorithm for the CEC\u20192014 special session on real-parameter single objective optimisation. In: IEEE congress on evolutionary computation, pp 1633\u20131640","DOI":"10.1109\/CEC.2014.6900536"},{"key":"9562_CR35","doi-asserted-by":"crossref","unstructured":"Montgomery J, Chen S (2010) An analysis of the operation of differential evolution at high and low crossover rates. In: IEEE congress on evolutionary computation, pp 1\u20138","DOI":"10.1109\/CEC.2010.5586128"},{"key":"9562_CR36","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/s10462-009-9137-2","volume":"33","author":"F Neri","year":"2010","unstructured":"Neri F, Tirronen V (2010) Recent advances in differential evolution: a survey and experimental analysis. Artif Intell Rev 33:61\u2013106","journal-title":"Artif Intell Rev"},{"key":"9562_CR37","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1016\/j.cor.2010.06.007","volume":"38","author":"Q-K Pan","year":"2011","unstructured":"Pan Q-K, Suganthan PN, Wang L, Gao L, Mallipeddi R (2011) A differential evolution algorithm with self-adapting strategy and control parameters. Comput Oper Res 38:394\u2013408","journal-title":"Comput Oper Res"},{"key":"9562_CR38","volume-title":"Differential evolution: a practical approach to global optimization","author":"K Price","year":"2006","unstructured":"Price K, Storn RM, Lampinen JA (2006) Differential evolution: a practical approach to global optimization. Springer, Berlin"},{"key":"9562_CR39","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1109\/TEVC.2008.927706","volume":"13","author":"AK Qin","year":"2009","unstructured":"Qin AK, Huang VL, Suganthan PN (2009) Differential evolution algorithm with strategy adaptation for global numerical optimization. IEEE Trans Evolut Comput 13:398\u2013417","journal-title":"IEEE Trans Evolut Comput"},{"key":"9562_CR40","doi-asserted-by":"crossref","unstructured":"Ronkkonen J, Kukkonen S, Price KV (2005) Real-parameter optimization with differential evolution. In: IEEE congress on evolutionary computation, pp 506\u2013513","DOI":"10.1109\/CEC.2005.1554725"},{"key":"9562_CR41","doi-asserted-by":"publisher","first-page":"785","DOI":"10.1016\/j.ejor.2006.10.020","volume":"183","author":"A Salman","year":"2007","unstructured":"Salman A, Engelbrecht AP, Omran MG (2007) Empirical analysis of self-adaptive differential evolution. Eur J Oper Res 183:785\u2013804","journal-title":"Eur J Oper Res"},{"key":"9562_CR42","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1109\/TEVC.2013.2281528","volume":"18","author":"R Sarker","year":"2014","unstructured":"Sarker R, Elsayed SM, Ray T (2014) Differential evolution with dynamic parameters selection for optimization problems. IEEE Trans Evolut Comput 18:689\u2013707","journal-title":"IEEE Trans Evolut Comput"},{"key":"9562_CR43","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.eswa.2015.12.001","volume":"51","author":"W Shao","year":"2016","unstructured":"Shao W, Pi D (2016) A self-guided differential evolution with neighborhood search for permutation flow shop scheduling. Expert Sys Appl 51:161\u2013176","journal-title":"Expert Sys Appl"},{"key":"9562_CR44","volume-title":"Differential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces","author":"R Storn","year":"1995","unstructured":"Storn R, Price K (1995) Differential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces, vol 3. ICSI, Berkeley"},{"key":"9562_CR45","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn R, Price K (1997) Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. J Global Optim 11:341\u2013359","journal-title":"J Global Optim"},{"key":"9562_CR46","unstructured":"Suganthan PN, Hansen N, Liang JJ, Deb K, Chen Y-P, Auger A, Tiwari S (2005) Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization KanGAL report 2005005"},{"key":"9562_CR47","doi-asserted-by":"crossref","unstructured":"Tanabe R, Fukunaga AS (2014) Improving the search performance of SHADE using linear population size reduction. In: IEEE congress on evolutionary computation, pp 1658\u20131665","DOI":"10.1109\/CEC.2014.6900380"},{"key":"9562_CR48","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1007\/s00500-005-0537-1","volume":"10","author":"J Teo","year":"2006","unstructured":"Teo J (2006) Exploring dynamic self-adaptive populations in differential evolution. Soft Comput 10:673\u2013686","journal-title":"Soft Comput"},{"key":"9562_CR49","doi-asserted-by":"crossref","unstructured":"Tirronen V, Neri F (2009) Differential evolution with fitness diversity self-adaptation. In: Chiong R (ed) Nature-inspired algorithms for optimisation. Springer, pp 199\u2013234","DOI":"10.1007\/978-3-642-00267-0_7"},{"key":"9562_CR50","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1109\/TEVC.2010.2087271","volume":"15","author":"Y Wang","year":"2011","unstructured":"Wang Y, Cai Z, Zhang Q (2011) Differential evolution with composite trial vector generation strategies and control parameters. IEEE Trans Evolut Comput 15:55\u201366","journal-title":"IEEE Trans Evolut Comput"},{"key":"9562_CR51","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1016\/j.asoc.2014.01.038","volume":"18","author":"Y Wang","year":"2014","unstructured":"Wang Y, Li H-X, Huang T, Li L (2014) Differential evolution based on covariance matrix learning and bimodal distribution parameter setting. Appl Soft Comput 18:232\u2013247","journal-title":"Appl Soft Comput"},{"key":"9562_CR52","doi-asserted-by":"publisher","first-page":"80","DOI":"10.2307\/3001968","volume":"1","author":"F Wilcoxon","year":"1945","unstructured":"Wilcoxon F (1945) Individual comparisons by ranking methods. Biometrics 1:80\u201383","journal-title":"Biometrics"},{"key":"9562_CR53","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1109\/TCYB.2014.2339495","volume":"45","author":"M Yang","year":"2015","unstructured":"Yang M, Li C, Cai Z, Guan J (2015) Differential evolution with auto-enhanced population diversity. IEEE Trans Cybern 45:302\u2013315","journal-title":"IEEE Trans Cybern"},{"key":"9562_CR54","doi-asserted-by":"publisher","first-page":"1080","DOI":"10.1109\/TCYB.2013.2279211","volume":"44","author":"W Yu","year":"2014","unstructured":"Yu W, Shen M, Chen WN, Zhan ZH, Gong YJ, Lin Y, Liu O, Zhang J (2014) Differential evolution with two-level parameter adaptation. IEEE Trans Cybern 44:1080\u20131099","journal-title":"IEEE Trans Cybern"},{"key":"9562_CR55","unstructured":"Zaharie D (2002) Parameter adaptation in differential evolution by controlling the population diversity. In: Proceedings of the international workshop on symbolic and numeric algorithms for scientific computing. pp 385\u2013397"},{"key":"9562_CR56","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1109\/TEVC.2009.2014613","volume":"13","author":"J Zhang","year":"2009","unstructured":"Zhang J, Sanderson AC (2009) JADE: adaptive differential evolution with optional external archive. IEEE Trans Evolut Comput 13:945\u2013958","journal-title":"IEEE Trans Evolut Comput"},{"key":"9562_CR57","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1109\/TEVC.2012.2206394","volume":"17","author":"J-H Zhong","year":"2013","unstructured":"Zhong J-H, Shen M, Zhang J, Chung HS-H, Shi Y-H, Li Y (2013) A differential evolution algorithm with dual populations for solving periodic railway timetable scheduling problem. IEEE Trans Evolut Comput 17:512\u2013527","journal-title":"IEEE Trans Evolut Comput"},{"key":"9562_CR58","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.cor.2016.05.015","volume":"75","author":"X-G Zhou","year":"2016","unstructured":"Zhou X-G, Zhang G-J, Hao X-H, Yu L (2016) A novel differential evolution algorithm using local abstract convex underestimate strategy for global optimization. Comput Oper Res 75:132\u2013149","journal-title":"Comput Oper Res"},{"key":"9562_CR59","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1016\/j.ins.2012.09.019","volume":"223","author":"W Zhu","year":"2013","unstructured":"Zhu W, Tang Y, Fang J-A, Zhang W (2013) Adaptive population tuning scheme for differential evolution. Inf Sci 223:164\u2013191","journal-title":"Inf Sci"}],"container-title":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10462-017-9562-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-017-9562-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-017-9562-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,2,26]],"date-time":"2019-02-26T21:08:00Z","timestamp":1551215280000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10462-017-9562-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,2]]},"references-count":59,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,2]]}},"alternative-id":["9562"],"URL":"https:\/\/doi.org\/10.1007\/s10462-017-9562-6","relation":{},"ISSN":["0269-2821","1573-7462"],"issn-type":[{"value":"0269-2821","type":"print"},{"value":"1573-7462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,6,2]]},"assertion":[{"value":"2 June 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflicts of interest in publishing this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}