{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T15:47:19Z","timestamp":1772293639095,"version":"3.50.1"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2017,10,13]],"date-time":"2017-10-13T00:00:00Z","timestamp":1507852800000},"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":["Neural Comput & Applic"],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1007\/s00521-017-3214-2","type":"journal-article","created":{"date-parts":[[2017,10,13]],"date-time":"2017-10-13T04:46:01Z","timestamp":1507869961000},"page":"2563-2591","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Design of hybrid nature-inspired heuristics with application to active noise control systems"],"prefix":"10.1007","volume":"31","author":[{"given":"Muhammad Asif Zahoor","family":"Raja","sequence":"first","affiliation":[]},{"given":"Muhammad Saeed","family":"Aslam","sequence":"additional","affiliation":[]},{"given":"Naveed Ishtiaq","family":"Chaudhary","sequence":"additional","affiliation":[]},{"given":"Muhammad","family":"Nawaz","sequence":"additional","affiliation":[]},{"given":"Syed Muslim","family":"Shah","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,13]]},"reference":[{"issue":"4","key":"3214_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00348-015-1908-8","volume":"56","author":"M Shaaban","year":"2015","unstructured":"Shaaban M, Mohany A (2015) Passive control of flow-excited acoustic resonance in rectangular cavities using upstream mounted blocks. Exp Fluids 56(4):1\u201312","journal-title":"Exp Fluids"},{"key":"3214_CR2","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1016\/j.jsv.2005.08.069","volume":"293","author":"C Mellet","year":"2006","unstructured":"Mellet C, L\u00e9tourneaux F, Poisson F, Talotte C (2006) High speed train noise emission: latest investigation of the aerodynamic\/rolling noise contribution. J Sound Vib 293:535\u2013546","journal-title":"J Sound Vib"},{"key":"3214_CR3","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.apacoust.2013.08.005","volume":"76","author":"NV George","year":"2014","unstructured":"George NV, Gonzalez A (2014) Convex combination of nonlinear adaptive filters for active noise control. Appl Acoust 76:157\u2013161","journal-title":"Appl Acoust"},{"issue":"2","key":"3214_CR4","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1016\/j.sigpro.2011.08.016","volume":"92","author":"NV George","year":"2012","unstructured":"George NV, Panda G (2012) On the development of adaptive hybrid active noise control system for effective mitigation of nonlinear noise. Signal Process 92(2):509\u2013516","journal-title":"Signal Process"},{"key":"3214_CR5","volume-title":"Active noise control systems: algorithms and DSP implementations","author":"SM Kuo","year":"1996","unstructured":"Kuo SM, Morgan DR (1996) Active noise control systems: algorithms and DSP implementations. Wiley, New York"},{"key":"3214_CR6","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1016\/j.sigpro.2014.04.012","volume":"107","author":"MS Aslam","year":"2015","unstructured":"Aslam MS, Raja MAZ (2015) A new adaptive strategy to improve online secondary path modeling in active noise control systems using fractional signal processing approach. Signal Process 107:433\u2013443","journal-title":"Signal Process"},{"key":"3214_CR7","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.apacoust.2015.01.006","volume":"92","author":"MT Akhtar","year":"2015","unstructured":"Akhtar MT, Nishihara A (2015) Data-reusing-based filtered-reference adaptive algorithms for active control of impulsive noise sources. Appl Acoust 92:18\u201326","journal-title":"Appl Acoust"},{"key":"3214_CR8","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1016\/j.sigpro.2015.03.011","volume":"115","author":"MV Matsuo","year":"2015","unstructured":"Matsuo MV, Seara R (2015) On the stochastic modeling of FxLMS-based narrowband active noise equalization systems. Signal Process 115:214\u2013226","journal-title":"Signal Process"},{"key":"3214_CR9","unstructured":"Chang CY, Shyu KK (2003) Active noise cancellation with a fuzzy adaptive filtered-X algorithm. In: Proceedings of the Institution of Electrical Engineering\u2014circuits, devices and systems, vol 150, no 5, pp 416\u2013422"},{"key":"3214_CR10","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.sigpro.2014.01.025","volume":"101","author":"T Wang","year":"2014","unstructured":"Wang T, Gan W-S (2014) Stochastic analysis of FXLMS-based internal model control feedback active noise control systems. Signal Process 101:121\u2013133","journal-title":"Signal Process"},{"issue":"1\/2","key":"3214_CR11","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1016\/j.jsv.2007.04.007","volume":"305","author":"CY Chang","year":"2007","unstructured":"Chang CY, Louh FB (2007) Enhancement of active noise control using neural based filtered-X algorithm. J Sound Vib 305(1\/2):348\u2013356","journal-title":"J Sound Vib"},{"issue":"2","key":"3214_CR12","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1016\/j.sigpro.2012.08.013","volume":"93","author":"NV George","year":"2013","unstructured":"George NV, Panda G (2013) Advances in active noise control: a survey, with emphasis on recent nonlinear techniques. Signal Process 93(2):363\u2013377","journal-title":"Signal Process"},{"issue":"3","key":"3214_CR13","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1007\/s11760-009-0120-9","volume":"4","author":"SV Narasimhan","year":"2010","unstructured":"Narasimhan SV, Veena S, Lokesha H (2010) Variable step-size Griffiths\u2019 algorithm for improved performance of feedforward\/feedback active noise control. SIViP 4(3):309\u2013317","journal-title":"SIViP"},{"issue":"1","key":"3214_CR14","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/s11760-011-0284-y","volume":"7","author":"SV Narasimhan","year":"2013","unstructured":"Narasimhan SV, Veena S (2013) New unbiased adaptive IIR filter: it\u2019s robust and variable step-size versions and application to active noise control. Signal Image Video Process 7(1):197\u2013207","journal-title":"Signal Image Video Process"},{"issue":"6","key":"3214_CR15","doi-asserted-by":"publisher","first-page":"1083","DOI":"10.1007\/s11760-012-0350-0","volume":"7","author":"S Pavithra","year":"2013","unstructured":"Pavithra S, Narasimhan SV (2013) Feedback active noise control based on forward\u2013backward LMS predictor. SIViP 7(6):1083\u20131091","journal-title":"SIViP"},{"issue":"6","key":"3214_CR16","doi-asserted-by":"publisher","first-page":"1195","DOI":"10.1016\/j.sigpro.2009.01.003","volume":"89","author":"P Davari","year":"2009","unstructured":"Davari P, Hassanpour H (2009) Designing a new robust on-line secondary path modeling technique for feedforward active noise control systems. Signal Process 89(6):1195\u20131204","journal-title":"Signal Process"},{"issue":"12","key":"3214_CR17","doi-asserted-by":"publisher","first-page":"3378","DOI":"10.1109\/TIM.2012.2205492","volume":"61","author":"NV George","year":"2012","unstructured":"George NV, Panda G (2012) A particle-swarm-optimization-based decentralized nonlinear active noise control system. IEEE Trans Instrum Meas 61(12):3378\u20133386","journal-title":"IEEE Trans Instrum Meas"},{"issue":"2","key":"3214_CR18","doi-asserted-by":"publisher","first-page":"554","DOI":"10.1109\/TIM.2011.2169180","volume":"61","author":"NK Rout","year":"2012","unstructured":"Rout NK, Das DP, Panda G (2012) Particle swarm optimization based active noise control algorithm without secondary path identification. IEEE Trans Instrum Meas 61(2):554\u2013563","journal-title":"IEEE Trans Instrum Meas"},{"issue":"9","key":"3214_CR19","doi-asserted-by":"publisher","first-page":"2315","DOI":"10.1109\/TIM.2009.2036410","volume":"59","author":"C-Y Chang","year":"2010","unstructured":"Chang C-Y, Chen D-R (2010) Active noise cancellation without secondary path identification by using an adaptive genetic algorithm. IEEE Trans Instrum Meas 59(9):2315\u20132327","journal-title":"IEEE Trans Instrum Meas"},{"issue":"1\u20132","key":"3214_CR20","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1007\/s11071-009-9649-y","volume":"61","author":"EJS Pires","year":"2010","unstructured":"Pires EJS et al (2010) Particle swarm optimization with fractional-order velocity. Nonlinear Dyn 61(1\u20132):295\u2013301","journal-title":"Nonlinear Dyn"},{"issue":"3","key":"3214_CR21","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1007\/s11760-012-0316-2","volume":"6","author":"MS Couceiro","year":"2012","unstructured":"Couceiro MS et al (2012) Introducing the fractional-order Darwinian PSO. Signal Image Video Process 6(3):343\u2013350","journal-title":"Signal Image Video Process"},{"key":"3214_CR22","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.swevo.2016.06.007","volume":"32","author":"A Gotmare","year":"2017","unstructured":"Gotmare A, Bhattacharjee SS, Patidar R, George NV (2017) Swarm and evolutionary computing algorithms for system identification and filter design: a comprehensive review. Swarm Evolut Comput 32:68\u201384","journal-title":"Swarm Evolut Comput"},{"issue":"5","key":"3214_CR23","doi-asserted-by":"publisher","first-page":"e0122827","DOI":"10.1371\/journal.pone.0122827","volume":"10","author":"MN Ab Wahab","year":"2015","unstructured":"Ab Wahab MN, Nefti-Meziani S, Atyabi A (2015) A comprehensive review of swarm optimization algorithms. PLoS ONE 10(5):e0122827","journal-title":"PLoS ONE"},{"issue":"1","key":"3214_CR24","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/s10462-013-9400-4","volume":"44","author":"AA Esmin","year":"2015","unstructured":"Esmin AA, Coelho RA, Matwin S (2015) A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data. Artif Intell Rev 44(1):23\u201345","journal-title":"Artif Intell Rev"},{"key":"3214_CR25","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.asoc.2014.02.009","volume":"19","author":"M \u010crepin\u0161ek","year":"2014","unstructured":"\u010crepin\u0161ek M, Liu S-H, Mernik M (2014) Replication and comparison of computational experiments in applied evolutionary computing: common pitfalls and guidelines to avoid them. Appl Soft Comput 19:161\u2013170","journal-title":"Appl Soft Comput"},{"issue":"1","key":"3214_CR26","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1016\/j.asoc.2011.08.047","volume":"12","author":"D Mongus","year":"2012","unstructured":"Mongus D, Repnik B, Mernik M, \u017dalik B (2012) A hybrid evolutionary algorithm for tuning a cloth-simulation model. Appl Soft Comput 12(1):266\u2013273","journal-title":"Appl Soft Comput"},{"issue":"3","key":"3214_CR27","doi-asserted-by":"publisher","first-page":"1006","DOI":"10.1016\/j.asoc.2011.11.024","volume":"12","author":"D Hrn\u010di\u010d","year":"2012","unstructured":"Hrn\u010di\u010d D, Mernik M, Bryant BR, Javed F (2012) A memetic grammar inference algorithm for language learning. Appl Soft Comput 12(3):1006\u20131020","journal-title":"Appl Soft Comput"},{"key":"3214_CR28","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2523-1","author":"MAZ Raja","year":"2016","unstructured":"Raja MAZ, Zameer A, Kiani AK, Shehzad A, Khan MAR (2016) Nature-inspired computational intelligence integration with Nelder\u2013Mead method to solve nonlinear benchmark models. Neural Comput Appl. doi:\n                    10.1007\/s00521-016-2523-1","journal-title":"Neural Comput Appl"},{"key":"3214_CR29","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1016\/j.asoc.2015.10.017","volume":"38","author":"MAZ Raja","year":"2016","unstructured":"Raja MAZ, Khan JA, Chaudhary NI, Shivanian E (2016) Reliable numerical treatment of nonlinear singular Flierl\u2013Petviashivili equations for unbounded domain using ANN, GAs, and SQP. Appl Soft Comput 38:617\u2013636","journal-title":"Appl Soft Comput"},{"issue":"4","key":"3214_CR30","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1007\/s00521-014-1762-2","volume":"26","author":"M Baymani","year":"2015","unstructured":"Baymani M, Effati S, Niazmand H, Kerayechian A (2015) Artificial neural network method for solving the Navier\u2013Stokes equations. Neural Comput Appl 26(4):765\u2013773","journal-title":"Neural Comput Appl"},{"issue":"2","key":"3214_CR31","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1007\/s10489-016-0837-4","volume":"46","author":"A Mansoori","year":"2017","unstructured":"Mansoori A, Effati S, Eshaghnezhad M (2017) An efficient recurrent neural network model for solving fuzzy non-linear programming problems. Appl Intell 46(2):308\u2013327","journal-title":"Appl Intell"},{"key":"3214_CR32","doi-asserted-by":"publisher","first-page":"1188","DOI":"10.1016\/j.neucom.2015.05.003","volume":"168","author":"S Effati","year":"2015","unstructured":"Effati S, Mansoori A, Eshaghnezhad M (2015) An efficient projection neural network for solving bilinear programming problems. Neurocomputing 168:1188\u20131197","journal-title":"Neurocomputing"},{"issue":"7\u20138","key":"3214_CR33","doi-asserted-by":"publisher","first-page":"1585","DOI":"10.1007\/s00521-014-1641-x","volume":"25","author":"MAZ Raja","year":"2014","unstructured":"Raja MAZ, Samar R, Rashidi MM (2014) Application of three unsupervised neural network models to singular nonlinear BVP of transformed 2D Bratu equation. Neural Comput Appl 25(7\u20138):1585\u20131601","journal-title":"Neural Comput Appl"},{"key":"3214_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.08.079","author":"Z Masood","year":"2016","unstructured":"Masood Z, Majeed K, Samar R, Raja MAZ (2016) Design of Mexican Hat Wavelet neural networks for solving Bratu type nonlinear systems. Neurocomputing. doi:\n                    10.1016\/j.neucom.2016.08.079","journal-title":"Neurocomputing"},{"issue":"11","key":"3214_CR35","doi-asserted-by":"publisher","first-page":"3627","DOI":"10.1016\/j.asoc.2012.06.009","volume":"12","author":"JM Chaquet","year":"2012","unstructured":"Chaquet JM, Carmona EJ, Corral R (2012) Using genetic algorithms to improve the thermodynamic efficiency of gas turbines designed by traditional methods. Appl Soft Comput 12(11):3627\u20133635","journal-title":"Appl Soft Comput"},{"issue":"9","key":"3214_CR36","doi-asserted-by":"publisher","first-page":"3051","DOI":"10.1016\/j.asoc.2012.05.014","volume":"12","author":"JM Chaquet","year":"2012","unstructured":"Chaquet JM, Carmona EJ (2012) Solving differential equations with fourier series and evolution strategies. Appl Soft Comput 12(9):3051\u20133062","journal-title":"Appl Soft Comput"},{"key":"3214_CR37","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2530-2","author":"MAZ Raja","year":"2016","unstructured":"Raja MAZ, Shah FH, Tariq M, Ahmad I (2016) Design of artificial neural network models optimized with sequential quadratic programming to study the dynamics of nonlinear Troesch\u2019s problem arising in plasma physics. Neural Comput Appl. doi:\n                    10.1007\/s00521-016-2530-2","journal-title":"Neural Comput Appl"},{"key":"3214_CR38","doi-asserted-by":"publisher","first-page":"860","DOI":"10.1016\/j.ins.2014.04.036","volume":"279","author":"MAZ Raja","year":"2014","unstructured":"Raja MAZ (2014) Stochastic numerical treatment for solving Troesch\u2019s problem. Inf Sci 279:860\u2013873","journal-title":"Inf Sci"},{"key":"3214_CR39","doi-asserted-by":"publisher","first-page":"280","DOI":"10.1016\/j.neucom.2016.09.032","volume":"219","author":"MAZ Raja","year":"2017","unstructured":"Raja MAZ, Niazi SA, Butt SA (2017) An intelligent computing technique to analyze the vibrational dynamics of rotating electrical machine. Neurocomputing 219:280\u2013299","journal-title":"Neurocomputing"},{"key":"3214_CR40","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.swevo.2016.06.003","volume":"31","author":"ZAEM Dahi","year":"2016","unstructured":"Dahi ZAEM, Mezioud C, Draa A (2016) A quantum-inspired genetic algorithm for solving the antenna positioning problem. Swarm and Evolutionary Computation 31:24\u201363","journal-title":"Swarm and Evolutionary Computation"},{"key":"3214_CR41","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1016\/j.asoc.2016.05.051","volume":"47","author":"ZAEM Dahi","year":"2016","unstructured":"Dahi ZAEM, Mezioud C, Draa A (2016) On the efficiency of the binary flower pollination algorithm: application on the antenna positioning problem. Appl Soft Comput 47:395\u2013414","journal-title":"Appl Soft Comput"},{"key":"3214_CR42","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/j.asoc.2015.05.015","volume":"34","author":"A Draa","year":"2015","unstructured":"Draa A (2015) On the performances of the flower pollination algorithm\u2014qualitative and quantitative analyses. Appl Soft Comput 34:349\u2013371","journal-title":"Appl Soft Comput"},{"issue":"5","key":"3214_CR43","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1139\/cjp-2015-0440","volume":"94","author":"MAZ Raja","year":"2016","unstructured":"Raja MAZ, Khan MAR, Mahmood T, Farooq U, Chaudhary NI (2016) Design of bio-inspired computing technique for nanofluidics based on nonlinear Jeffery\u2013Hamel flow equations. Can J Phys 94(5):474\u2013489","journal-title":"Can J Phys"},{"key":"3214_CR44","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2547-6","author":"I Ahmad","year":"2016","unstructured":"Ahmad I, Ahmad F, Raja MAZ, Ilyas H, Anwar N, Azad Z (2016) Intelligent computing to solve fifth-order boundary value problem arising in induction motor models. Neural Comput Appl. doi:\n                    10.1007\/s00521-016-2547-6","journal-title":"Neural Comput Appl"},{"key":"3214_CR45","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2400-y","author":"I Ahmad","year":"2016","unstructured":"Ahmad I, Raja MAZ, Bilal M, Ashraf F (2016) Neural network methods to solve the Lane\u2013Emden type equations arising in thermodynamic studies of the spherical gas cloud model. Neural Comput Appl. doi:\n                    10.1007\/s00521-016-2400-y","journal-title":"Neural Comput Appl"},{"key":"3214_CR46","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2677-x","author":"MAZ Raja","year":"2016","unstructured":"Raja MAZ, Shah AA, Mehmood A, Chaudhary NI, Aslam MS (2016) Bio-inspired computational heuristics for parameter estimation of nonlinear Hammerstein controlled autoregressive system. Neural Comput Appl. doi:\n                    10.1007\/s00521-016-2677-x","journal-title":"Neural Comput Appl"},{"key":"3214_CR47","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1016\/j.cam.2016.07.027","volume":"311","author":"BS Kashkaria","year":"2017","unstructured":"Kashkaria BS, Syam MI (2017) Evolutionary computational intelligence in solving a class of nonlinear Volterra\u2013Fredholm integro-differential equations. J Comput Appl Math 311:314\u2013323","journal-title":"J Comput Appl Math"},{"issue":"1","key":"3214_CR48","doi-asserted-by":"publisher","first-page":"1866","DOI":"10.1186\/s40064-016-3517-2","volume":"5","author":"I Ahmad","year":"2016","unstructured":"Ahmad I, Raja MAZ, Bilal M, Ashraf F (2016) Bio-inspired computational heuristics to study Lane\u2013Emden systems arising in astrophysics model. SpringerPlus 5(1):1866","journal-title":"SpringerPlus"},{"issue":"4","key":"3214_CR49","doi-asserted-by":"publisher","first-page":"1103","DOI":"10.1016\/j.dsp.2013.02.019","volume":"23","author":"H Azami","year":"2013","unstructured":"Azami H et al (2013) A hybrid evolutionary approach to segmentation of non-stationary signals. Digital Signal Process 23(4):1103\u20131114","journal-title":"Digital Signal Process"},{"issue":"3","key":"3214_CR50","first-page":"198","volume":"22","author":"AF Mahmood","year":"2014","unstructured":"Mahmood AF, Abd-Alsalam AM (2014) Automatic brain MRI slices classification using hybrid technique. Al-Rafidain Eng J 22(3):198\u2013212","journal-title":"Al-Rafidain Eng J"},{"key":"3214_CR51","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.dsp.2014.05.012","volume":"32","author":"SR Madikeri","year":"2014","unstructured":"Madikeri SR (2014) A fast and scalable hybrid FA\/PPCA-based framework for speaker recognition. Digital Signal Process 32:137\u2013145","journal-title":"Digital Signal Process"},{"issue":"8","key":"3214_CR52","doi-asserted-by":"publisher","first-page":"1835","DOI":"10.1016\/j.jvcir.2014.09.001","volume":"25","author":"M-S Wu","year":"2014","unstructured":"Wu M-S (2014) Genetic algorithm based on discrete wavelet transformation for fractal image compression. J Vis Commun Image Represent 25(8):1835\u20131841","journal-title":"J Vis Commun Image Represent"},{"key":"3214_CR53","unstructured":"Sam, \u201cAnother Particle Swarm Toolbox\u201d, 01 Dec 2009 (Updated 01 Apr 2014), File ID: #25986, Version: 1.31"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-3214-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-017-3214-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-3214-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,28]],"date-time":"2019-08-28T14:07:01Z","timestamp":1567001221000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-017-3214-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10,13]]},"references-count":53,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2019,7]]}},"alternative-id":["3214"],"URL":"https:\/\/doi.org\/10.1007\/s00521-017-3214-2","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10,13]]},"assertion":[{"value":"17 November 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 October 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 October 2017","order":3,"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":"All the authors of the manuscript declared that there are no potential conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All the authors of the manuscript declared that there is no research involving human participants and\/or animal.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Human and animals rights"}},{"value":"All the authors of the manuscript declared that there is no material that required informed consent.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}