{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T18:22:43Z","timestamp":1778610163725,"version":"3.51.4"},"reference-count":92,"publisher":"Springer Science and Business Media LLC","issue":"16","license":[{"start":{"date-parts":[[2020,1,16]],"date-time":"2020-01-16T00:00:00Z","timestamp":1579132800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,16]],"date-time":"2020-01-16T00:00:00Z","timestamp":1579132800000},"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":["Neural Comput & Applic"],"published-print":{"date-parts":[[2020,8]]},"DOI":"10.1007\/s00521-020-04701-4","type":"journal-article","created":{"date-parts":[[2020,1,16]],"date-time":"2020-01-16T20:02:20Z","timestamp":1579204940000},"page":"12469-12497","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Design of meta-heuristic computing paradigms for Hammerstein identification systems in electrically stimulated muscle models"],"prefix":"10.1007","volume":"32","author":[{"given":"Ammara","family":"Mehmood","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aneela","family":"Zameer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naveed Ishtiaq","family":"Chaudhary","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sai Ho","family":"Ling","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad Asif Zahoor","family":"Raja","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,1,16]]},"reference":[{"issue":"4","key":"4701_CR1","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1007\/s004210050606","volume":"80","author":"MJ Castro","year":"1999","unstructured":"Castro MJ, Apple DF Jr, Hillegass EA, Dudley GA (1999) Influence of complete spinal cord injury on skeletal muscle cross-sectional area within the first 6\u00a0months of injury. Eur J Appl Physiol 80(4):373\u2013378","journal-title":"Eur J Appl Physiol"},{"issue":"11","key":"4701_CR2","doi-asserted-by":"crossref","first-page":"790","DOI":"10.1038\/sj.sc.3100648","volume":"36","author":"P Vestergaard","year":"1998","unstructured":"Vestergaard P, Krogh K, Rejnmark L, Mosekilde L (1998) Fracture rates and risk factors for fractures in patients with spinal cord injury. Spinal Cord 36(11):790","journal-title":"Spinal Cord"},{"issue":"7","key":"4701_CR3","doi-asserted-by":"crossref","first-page":"1502","DOI":"10.1016\/j.apmr.2004.12.021","volume":"86","author":"ET Mahoney","year":"2005","unstructured":"Mahoney ET, Bickel CS, Elder C, Black C, Slade JM, Apple D, Dudley GA (2005) Changes in skeletal muscle size and glucose tolerance with electrically stimulated resistance training in subjects with chronic spinal cord injury. Arch Phys Med Rehabil 86(7):1502\u20131504","journal-title":"Arch Phys Med Rehabil"},{"issue":"2","key":"4701_CR4","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1177\/1545968306293447","volume":"21","author":"RK Shields","year":"2007","unstructured":"Shields RK, Dudley-Javoroski S (2007) Musculoskeletal adaptations in chronic spinal cord injury: effects of long-term soleus electrical stimulation training. Neurorehabil Neural Repair 21(2):169\u2013179","journal-title":"Neurorehabil Neural Repair"},{"issue":"5","key":"4701_CR5","doi-asserted-by":"crossref","first-page":"934","DOI":"10.1016\/j.apmr.2015.01.013","volume":"96","author":"OA Howlett","year":"2015","unstructured":"Howlett OA, Lannin NA, Ada L, McKinstry C (2015) Functional electrical stimulation improves activity after stroke: a systematic review with meta-analysis. Arch Phys Med Rehabil 96(5):934\u2013943","journal-title":"Arch Phys Med Rehabil"},{"issue":"6","key":"4701_CR6","doi-asserted-by":"crossref","first-page":"1531","DOI":"10.1016\/j.jbiomech.2014.02.009","volume":"47","author":"DFB Haeufle","year":"2014","unstructured":"Haeufle DFB, G\u00fcnther M, Bayer A, Schmitt S (2014) Hill-type muscle model with serial damping and eccentric force\u2013velocity relation. J Biomech 47(6):1531\u20131536","journal-title":"J Biomech"},{"issue":"12","key":"4701_CR7","doi-asserted-by":"crossref","first-page":"2587","DOI":"10.1016\/j.jbiomech.2006.12.015","volume":"40","author":"LF Law","year":"2007","unstructured":"Law LF, Shields RK (2007) Mathematical models of human paralyzed muscle after long-term training. J Biomech 40(12):2587\u20132595","journal-title":"J Biomech"},{"issue":"6","key":"4701_CR8","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1016\/S1050-6411(03)00102-0","volume":"13","author":"J Ding","year":"2003","unstructured":"Ding J, Wexler AS, Binder-Macleod SA (2003) Mathematical models for fatigue minimization during functional electrical stimulation. J Electromyogr Kinesiol 13(6):575\u2013588","journal-title":"J Electromyogr Kinesiol"},{"issue":"8","key":"4701_CR9","doi-asserted-by":"crossref","first-page":"998","DOI":"10.1109\/10.704868","volume":"45","author":"KJ Hunt","year":"1998","unstructured":"Hunt KJ, Munih M, Donaldson NDN, Barr FM (1998) Investigation of the Hammerstein hypothesis in the modeling of electrically stimulated muscle. IEEE Trans Biomed Eng 45(8):998\u20131009","journal-title":"IEEE Trans Biomed Eng"},{"issue":"3","key":"4701_CR10","doi-asserted-by":"crossref","first-page":"736","DOI":"10.1016\/j.automatica.2008.09.023","volume":"45","author":"EW Bai","year":"2009","unstructured":"Bai EW, Cai Z, Dudley-Javorosk S, Shields RK (2009) Identification of a modified Wiener\u2013Hammerstein system and its application in electrically stimulated paralyzed skeletal muscle modeling. Automatica 45(3):736\u2013743","journal-title":"Automatica"},{"key":"4701_CR11","unstructured":"Le F (2011) Identification of electrically stimulated muscle after stroke. Doctoral dissertation, University of Southampton"},{"issue":"4","key":"4701_CR12","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1016\/j.conengprac.2011.08.001","volume":"20","author":"F Le","year":"2012","unstructured":"Le F, Markovsky I, Freeman CT, Rogers E (2012) Recursive identification of Hammerstein systems with application to electrically stimulated muscle. Control Eng Pract 20(4):386\u2013396","journal-title":"Control Eng Pract"},{"key":"4701_CR13","doi-asserted-by":"crossref","first-page":"105705","DOI":"10.1016\/j.asoc.2019.105705","volume":"84","author":"A Mehmood","year":"2019","unstructured":"Mehmood A, Zameer A, Chaudhary NI, Raja MAZ (2019) Backtracking search heuristics for identification of electrical muscle stimulation models using Hammerstein structure. Appl Soft Comput 84:105705","journal-title":"Appl Soft Comput"},{"issue":"8","key":"4701_CR14","doi-asserted-by":"crossref","first-page":"4746","DOI":"10.1109\/TIT.2017.2694013","volume":"63","author":"W Greblicki","year":"2017","unstructured":"Greblicki W, Pawlak M (2017) Hammerstein system identification with the nearest neighbor algorithm. IEEE Trans Inf Theory 63(8):4746\u20134757","journal-title":"IEEE Trans Inf Theory"},{"issue":"4","key":"4701_CR15","doi-asserted-by":"crossref","first-page":"908","DOI":"10.1080\/00207179.2017.1373862","volume":"92","author":"R Castro-Garcia","year":"2019","unstructured":"Castro-Garcia R, Agudelo OM, Suykens JA (2019) Impulse response constrained LS-SVM modelling for MIMO Hammerstein system identification. Int J Control 92(4):908\u2013925","journal-title":"Int J Control"},{"key":"4701_CR16","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1016\/j.automatica.2018.04.046","volume":"94","author":"G Giordano","year":"2018","unstructured":"Giordano G, Gros S, Sj\u00f6berg J (2018) An improved method for Wiener\u2013Hammerstein system identification based on the Fractional Approach. Automatica 94:349\u2013360","journal-title":"Automatica"},{"key":"4701_CR17","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.aml.2015.12.018","volume":"57","author":"D Wang","year":"2016","unstructured":"Wang D (2016) Hierarchical parameter estimation for a class of MIMO Hammerstein systems based on the reframed models. Appl Math Lett 57:13\u201319","journal-title":"Appl Math Lett"},{"issue":"1","key":"4701_CR18","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1007\/s00034-014-9839-9","volume":"34","author":"H Chen","year":"2015","unstructured":"Chen H, Ding F (2015) Hierarchical least squares identification for Hammerstein nonlinear controlled autoregressive systems. Circuits Syst Signal Process 34(1):61\u201375","journal-title":"Circuits Syst Signal Process"},{"issue":"10","key":"4701_CR19","doi-asserted-by":"crossref","first-page":"1388","DOI":"10.1002\/acs.2772","volume":"31","author":"Y Mao","year":"2017","unstructured":"Mao Y, Ding F, Yang E (2017) Adaptive filtering-based multi-innovation gradient algorithm for input nonlinear systems with autoregressive noise. Int J Adapt Control Signal Process 31(10):1388\u20131400","journal-title":"Int J Adapt Control Signal Process"},{"issue":"3","key":"4701_CR20","doi-asserted-by":"crossref","first-page":"1745","DOI":"10.1007\/s11071-014-1771-9","volume":"79","author":"Y Mao","year":"2015","unstructured":"Mao Y, Ding F (2015) Multi-innovation stochastic gradient identification for Hammerstein controlled autoregressive systems based on the filtering technique. Nonlinear Dyn 79(3):1745\u20131755","journal-title":"Nonlinear Dyn"},{"issue":"3","key":"4701_CR21","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1049\/iet-cta.2016.0491","volume":"11","author":"F Ding","year":"2016","unstructured":"Ding F, Wang F, Xu L, Hayat T, Alsaedi A (2016) Parameter estimation for pseudo-linear systems using the auxiliary model and the decomposition technique. IET Control Theory Appl 11(3):390\u2013400","journal-title":"IET Control Theory Appl"},{"key":"4701_CR22","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.aml.2016.03.016","volume":"60","author":"Y Mao","year":"2016","unstructured":"Mao Y, Ding F (2016) A novel parameter separation based identification algorithm for Hammerstein systems. Appl Math Lett 60:21\u201327","journal-title":"Appl Math Lett"},{"key":"4701_CR23","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.sigpro.2015.04.015","volume":"116","author":"NI Chaudhary","year":"2015","unstructured":"Chaudhary NI et al (2015) Design of fractional adaptive strategy for input nonlinear Box\u2013Jenkins systems. Sig Process 116:141\u2013151","journal-title":"Sig Process"},{"issue":"4","key":"4701_CR24","doi-asserted-by":"crossref","first-page":"1811","DOI":"10.1007\/s11071-015-2279-7","volume":"82","author":"NI Chaudhary","year":"2015","unstructured":"Chaudhary NI et al (2015) Design of modified fractional adaptive strategies for Hammerstein nonlinear control autoregressive systems. Nonlinear Dyn 82(4):1811\u20131830","journal-title":"Nonlinear Dyn"},{"key":"4701_CR25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.sigpro.2017.06.025","volume":"142","author":"S Cheng","year":"2018","unstructured":"Cheng S, Wei Y, Sheng D, Chen Y, Wang Y (2018) Identification for Hammerstein nonlinear ARMAX systems based on multi-innovation fractional order stochastic gradient. Sig Process 142:1\u201310","journal-title":"Sig Process"},{"issue":"2","key":"4701_CR26","doi-asserted-by":"crossref","first-page":"1385","DOI":"10.1007\/s11071-014-1748-8","volume":"79","author":"NI Chaudhary","year":"2015","unstructured":"Chaudhary NI et al (2015) Identification of Hammerstein nonlinear ARMAX systems using nonlinear adaptive algorithms. Nonlinear Dyn 79(2):1385\u20131397","journal-title":"Nonlinear Dyn"},{"issue":"1","key":"4701_CR27","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1007\/s11071-016-3058-9","volume":"87","author":"MS Aslam","year":"2017","unstructured":"Aslam MS et al (2017) A sliding-window approximation-based fractional adaptive strategy for Hammerstein nonlinear ARMAX systems. Nonlinear Dyn 87(1):519\u2013533","journal-title":"Nonlinear Dyn"},{"issue":"8","key":"4701_CR28","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1049\/iet-spr.2016.0578","volume":"11","author":"NI Chaudhary","year":"2017","unstructured":"Chaudhary NI et al (2017) Modified Volterra LMS algorithm to fractional order for identification of Hammerstein non-linear system. IET Signal Proc 11(8):975\u2013985","journal-title":"IET Signal Proc"},{"key":"4701_CR29","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.eswa.2017.10.042","volume":"94","author":"Y Djenouri","year":"2018","unstructured":"Djenouri Y, Belhadi A, Belkebir R (2018) Bees swarm optimization guided by data mining techniques for document information retrieval. Expert Syst Appl 94:126\u2013136","journal-title":"Expert Syst Appl"},{"key":"4701_CR30","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.knosys.2018.06.001","volume":"159","author":"G Dhiman","year":"2018","unstructured":"Dhiman G, Kumar V (2018) Emperor penguin optimizer: a bio-inspired algorithm for engineering problems. Knowl Based Syst 159:20\u201350","journal-title":"Knowl Based Syst"},{"key":"4701_CR31","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1016\/j.ins.2014.05.033","volume":"281","author":"D Bose","year":"2014","unstructured":"Bose D, Biswas S, Vasilakos AV, Laha S (2014) Optimal filter design using an improved artificial bee colony algorithm. Inf Sci 281:443\u2013461","journal-title":"Inf Sci"},{"key":"4701_CR32","first-page":"17","volume":"2015","author":"RH Abiyev","year":"2015","unstructured":"Abiyev RH, Tunay M (2015) Optimization of high-dimensional functions through hypercube evaluation. Comput Intell Neurosci 2015:17","journal-title":"Comput Intell Neurosci"},{"key":"4701_CR33","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.knosys.2018.08.030","volume":"163","author":"W Zhao","year":"2019","unstructured":"Zhao W, Wang L, Zhang Z (2019) Atom search optimization and its application to solve a hydrogeologic parameter estimation problem. Knowl Based Syst 163:283\u2013304","journal-title":"Knowl Based Syst"},{"key":"4701_CR34","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.knosys.2018.01.021","volume":"145","author":"X Chen","year":"2018","unstructured":"Chen X, Mei C, Xu B, Yu K, Huang X (2018) Quadratic interpolation based teaching-learning-based optimization for chemical dynamic system optimization. Knowl-Based Syst 145:250\u2013263","journal-title":"Knowl-Based Syst"},{"issue":"1","key":"4701_CR35","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1007\/s00521-017-2991-y","volume":"31","author":"S Lodhi","year":"2019","unstructured":"Lodhi S et al (2019) Fractional neural network models for nonlinear Riccati systems. Neural Comput Appl 31(1):359\u2013378","journal-title":"Neural Comput Appl"},{"key":"4701_CR36","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1016\/j.eswa.2017.10.033","volume":"93","author":"A Kumar","year":"2018","unstructured":"Kumar A, Kumar V (2018) Performance analysis of optimal hybrid novel interval type-2 fractional order fuzzy logic controllers for fractional order systems. Expert Syst Appl 93:435\u2013455","journal-title":"Expert Syst Appl"},{"key":"4701_CR37","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.asoc.2017.11.002","volume":"62","author":"MAZ Raja","year":"2018","unstructured":"Raja MAZ, Abbas S, Syam MI, Wazwaz AM (2018) Design of neuro-evolutionary model for solving nonlinear singularly perturbed boundary value problems. Appl Soft Comput 62:373\u2013394","journal-title":"Appl Soft Comput"},{"key":"4701_CR38","doi-asserted-by":"crossref","first-page":"806","DOI":"10.1016\/j.asoc.2014.08.055","volume":"24","author":"MAZ Raja","year":"2014","unstructured":"Raja MAZ (2014) Numerical treatment for boundary value problems of pantograph functional differential equation using computational intelligence algorithms. Appl Soft Comput 24:806\u2013821","journal-title":"Appl Soft Comput"},{"key":"4701_CR39","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1016\/j.asoc.2019.04.022","volume":"80","author":"M Umar","year":"2019","unstructured":"Umar M et al (2019) Intelligent computing for numerical treatment of nonlinear prey\u2013predator models. Appl Soft Comput 80:506\u2013524","journal-title":"Appl Soft Comput"},{"key":"4701_CR40","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1016\/j.knosys.2016.06.019","volume":"107","author":"Y Wang","year":"2016","unstructured":"Wang Y, Feng X, Lyu X, Li Z, Liu B (2016) Optimal targeting of nonlinear chaotic systems using a novel evolutionary computing strategy. Knowl-Based Syst 107:261\u2013270","journal-title":"Knowl-Based Syst"},{"key":"4701_CR41","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.knosys.2017.10.011","volume":"139","author":"K Chen","year":"2018","unstructured":"Chen K, Zhou F, Liu A (2018) Chaotic dynamic weight particle swarm optimization for numerical function optimization. Knowl-Based Syst 139:23\u201340","journal-title":"Knowl-Based Syst"},{"issue":"5","key":"4701_CR42","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1140\/epjp\/i2018-12013-3","volume":"133","author":"I Ahmad","year":"2018","unstructured":"Ahmad I et al (2018) Neuro-evolutionary computing paradigm for Painlev\u00e9 equation-II in nonlinear optics. Eur Phys J Plus 133(5):184","journal-title":"Eur Phys J Plus"},{"issue":"7","key":"4701_CR43","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1140\/epjp\/i2018-12080-4","volume":"133","author":"MAZ Raja","year":"2018","unstructured":"Raja MAZ, Shah Z, Manzar MA, Ahmad I, Awais M, Baleanu D (2018) A new stochastic computing paradigm for nonlinear Painlev\u00e9 II systems in applications of random matrix theory. Eur Phys J Plus 133(7):254","journal-title":"Eur Phys J Plus"},{"key":"4701_CR44","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.jtice.2015.10.020","volume":"60","author":"MAZ Raja","year":"2016","unstructured":"Raja MAZ, Shah FH, Khan AA, Khan NA (2016) Design of bio-inspired computational intelligence technique for solving steady thin film flow of Johnson-Segalman fluid on vertical cylinder for drainage problems. J Taiwan Inst Chem Eng 60:59\u201375","journal-title":"J Taiwan Inst Chem Eng"},{"key":"4701_CR45","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1016\/j.cjph.2019.04.015","volume":"59","author":"I Ahmad","year":"2019","unstructured":"Ahmad I et al (2019) Design of computational intelligent procedure for thermal analysis of porous fin model. Chin J Phys 59:641\u2013655","journal-title":"Chin J Phys"},{"issue":"8","key":"4701_CR46","doi-asserted-by":"crossref","first-page":"1603","DOI":"10.1007\/s11760-018-1317-6","volume":"12","author":"A Mehmood","year":"2018","unstructured":"Mehmood A et al (2018) Parameter estimation for Hammerstein control autoregressive systems using differential evolution. SIViP 12(8):1603\u20131610","journal-title":"SIViP"},{"issue":"12","key":"4701_CR47","doi-asserted-by":"crossref","first-page":"1455","DOI":"10.1007\/s00521-016-2677-x","volume":"29","author":"MAZ Raja","year":"2018","unstructured":"Raja MAZ, Shah AA, Mehmood A, Chaudhary NI, Aslam MS (2018) Bio-inspired computational heuristics for parameter estimation of nonlinear Hammerstein controlled autoregressive system. Neural Comput Appl 29(12):1455\u20131474","journal-title":"Neural Comput Appl"},{"key":"4701_CR48","doi-asserted-by":"crossref","first-page":"666","DOI":"10.1016\/j.asoc.2018.08.027","volume":"73","author":"WU Khan","year":"2018","unstructured":"Khan WU et al (2018) Backtracking search integrated with sequential quadratic programing for nonlinear active noise control systems. Appl Soft Comput 73:666\u2013683","journal-title":"Appl Soft Comput"},{"key":"4701_CR49","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1016\/j.apacoust.2018.11.024","volume":"146","author":"WU Khan","year":"2019","unstructured":"Khan WU et al (2019) A novel application of fireworks heuristic paradigms for reliable treatment of nonlinear active noise control. Appl Acoust 146:246\u2013260","journal-title":"Appl Acoust"},{"issue":"10","key":"4701_CR50","doi-asserted-by":"crossref","first-page":"5819","DOI":"10.1007\/s00521-018-3406-4","volume":"31","author":"A Mehmood","year":"2019","unstructured":"Mehmood A et al (2019) Nature-inspired heuristic paradigms for parameter estimation of control autoregressive moving average systems. Neural Comput Appl 31(10):5819\u20135842","journal-title":"Neural Comput Appl"},{"issue":"1","key":"4701_CR51","doi-asserted-by":"crossref","first-page":"1866","DOI":"10.1186\/s40064-016-3517-2","volume":"5","author":"I Ahmad","year":"2016","unstructured":"Ahmad I et al (2016) Bio-inspired computational heuristics to study Lane-Emden systems arising in astrophysics model. SpringerPlus 5(1):1866","journal-title":"SpringerPlus"},{"issue":"9","key":"4701_CR52","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1007\/s10509-018-3415-x","volume":"363","author":"M Pathak","year":"2018","unstructured":"Pathak M, Joshi P (2018) Application of a coupled approach for the solution of nonlinear singular initial value problems of Lane-Emden type. Astrophys Space Sci 363(9):191","journal-title":"Astrophys Space Sci"},{"issue":"1","key":"4701_CR53","doi-asserted-by":"crossref","first-page":"1400","DOI":"10.1186\/s40064-016-3093-5","volume":"5","author":"MAZ Raja","year":"2016","unstructured":"Raja MAZ, Zameer A, Khan AU, Wazwaz AM (2016) A new numerical approach to solve Thomas-Fermi model of an atom using bio-inspired heuristics integrated with sequential quadratic programming. SpringerPlus 5(1):1400","journal-title":"SpringerPlus"},{"key":"4701_CR54","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.asoc.2018.01.009","volume":"65","author":"Z Sabir","year":"2018","unstructured":"Sabir Z et al (2018) Neuro-heuristics for nonlinear singular Thomas-Fermi systems. Appl Soft Comput 65:152\u2013169","journal-title":"Appl Soft Comput"},{"issue":"6","key":"4701_CR55","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1007\/s00521-016-2530-2","volume":"29","author":"MAZ Raja","year":"2018","unstructured":"Raja MAZ, Shah FH, Tariq M, Ahmad I (2018) 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 29(6):83\u2013109","journal-title":"Neural Comput Appl"},{"key":"4701_CR56","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1016\/j.asoc.2017.03.028","volume":"56","author":"K Majeed","year":"2017","unstructured":"Majeed K et al (2017) A genetic algorithm optimized Morlet wavelet artificial neural network to study the dynamics of nonlinear Troesch\u2019s system. Appl Soft Comput 56:420\u2013435","journal-title":"Appl Soft Comput"},{"issue":"1","key":"4701_CR57","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1007\/s00521-016-2400-y","volume":"28","author":"I Ahmad","year":"2017","unstructured":"Ahmad I et al (2017) Neural network methods to solve the Lane-Emden type equations arising in thermodynamic studies of the spherical gas cloud model. Neural Comput Appl 28(1):929\u2013944","journal-title":"Neural Comput Appl"},{"key":"4701_CR58","doi-asserted-by":"crossref","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":"4701_CR59","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.eswa.2018.01.005","volume":"98","author":"S Vitayasak","year":"2018","unstructured":"Vitayasak S, Pongcharoen P (2018) Performance improvement of Teaching-Learning-Based Optimisation for robust machine layout design. Expert Syst Appl 98:129\u2013152","journal-title":"Expert Syst Appl"},{"key":"4701_CR60","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.jtice.2018.05.046","volume":"91","author":"A Mehmood","year":"2018","unstructured":"Mehmood A et al (2018) Design of neuro-computing paradigms for nonlinear nanofluidic systems of MHD Jeffery-Hamel flow. J Taiwan Inst Chem Eng 91:57\u201385","journal-title":"J Taiwan Inst Chem Eng"},{"key":"4701_CR61","doi-asserted-by":"crossref","first-page":"935","DOI":"10.1016\/j.jtice.2017.08.016","volume":"80","author":"MAZ Raja","year":"2017","unstructured":"Raja MAZ, Ahmed T, Shah SM (2017) Intelligent computing strategy to analyze the dynamics of convective heat transfer in MHD slip flow over stretching surface involving carbon nanotubes. J Taiwan Inst Chem Eng 80:935\u2013953","journal-title":"J Taiwan Inst Chem Eng"},{"key":"4701_CR62","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04197-7","author":"A Mehmood","year":"2019","unstructured":"Mehmood A, Zameer A, Aslam MS, Raja MAZ (2019) Design of nature-inspired heuristic paradigm for systems in nonlinear electrical circuits. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-019-04197-7","journal-title":"Neural Comput Appl"},{"issue":"6","key":"4701_CR63","doi-asserted-by":"crossref","first-page":"1905","DOI":"10.1007\/s00521-016-2806-6","volume":"30","author":"MAZ Raja","year":"2018","unstructured":"Raja MAZ, Mehmood A, Niazi SA, Shah SM (2018) Computational intelligence methodology for the analysis of RC circuit modelled with nonlinear differential order system. Neural Comput Appl 30(6):1905\u20131924","journal-title":"Neural Comput Appl"},{"key":"4701_CR64","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.knosys.2016.10.028","volume":"116","author":"YZ Li","year":"2017","unstructured":"Li YZ, Jiang L, Wu QH, Wang P, Gooi HB, Li KC, Liu YQ, Lu P, Cao M, Imura J (2017) Wind-thermal power system dispatch using MLSAD model and GSOICLW algorithm. Knowl-Based Syst 116:94\u2013101","journal-title":"Knowl-Based Syst"},{"key":"4701_CR65","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.eswa.2017.06.009","volume":"87","author":"K Nuaekaew","year":"2017","unstructured":"Nuaekaew K, Artrit P, Pholdee N, Bureerat S (2017) Optimal reactive power dispatch problem using a two-archive multi-objective grey wolf optimizer. Expert Syst Appl 87:79\u201389","journal-title":"Expert Syst Appl"},{"key":"4701_CR66","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04133-9","author":"A Mehmood","year":"2019","unstructured":"Mehmood A, Chaudhary NI, Zameer A et al (2019) Novel computing paradigms for parameter estimation in power signal models. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-019-04133-9","journal-title":"Neural Comput Appl"},{"key":"4701_CR67","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1016\/j.enconman.2016.12.032","volume":"134","author":"A Zameer","year":"2017","unstructured":"Zameer A et al (2017) Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks. Energy Convers Manag 134:361\u2013372","journal-title":"Energy Convers Manag"},{"key":"4701_CR68","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.knosys.2018.03.004","volume":"150","author":"S Kelly","year":"2018","unstructured":"Kelly S, Ahmad K (2018) Estimating the impact of domain-specific news sentiment on financial assets. Knowl-Based Syst 150:116\u2013126","journal-title":"Knowl-Based Syst"},{"issue":"1","key":"4701_CR69","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1186\/s13662-017-1461-2","volume":"2018","author":"A Ara","year":"2018","unstructured":"Ara A et al (2018) Wavelets optimization method for evaluation of fractional partial differential equations: an application to financial modelling. Adv Differ Equ 2018(1):8","journal-title":"Adv Differ Equ"},{"key":"4701_CR70","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/j.eswa.2018.07.061","volume":"115","author":"M Karhunen","year":"2019","unstructured":"Karhunen M (2019) Algorithmic sign prediction and covariate selection across eleven international stock markets. Expert Syst Appl 115:256\u2013263","journal-title":"Expert Syst Appl"},{"key":"4701_CR71","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.eswa.2018.07.040","volume":"114","author":"R Cerqueti","year":"2018","unstructured":"Cerqueti R, Ferraro G, Iovanella A (2018) A new measure for community structures through indirect social connections. Expert Syst Appl 114:196\u2013209","journal-title":"Expert Syst Appl"},{"issue":"02","key":"4701_CR72","doi-asserted-by":"crossref","first-page":"1850019","DOI":"10.1142\/S1793524518500195","volume":"11","author":"MAZ Raja","year":"2018","unstructured":"Raja MAZ, Asma K, Aslam MS (2018) Bio-inspired computational heuristics to study models of hiv infection of CD4+ T-cell. Int J Biomath 11(02):1850019","journal-title":"Int J Biomath"},{"key":"4701_CR73","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1016\/j.asoc.2016.10.009","volume":"52","author":"MAZ Raja","year":"2017","unstructured":"Raja MAZ, Shah FH, Alaidarous ES, Syam MI (2017) Design of bio-inspired heuristic technique integrated with interior-point algorithm to analyze the dynamics of heartbeat model. Appl Soft Comput 52:605\u2013629","journal-title":"Appl Soft Comput"},{"issue":"4","key":"4701_CR74","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn R, Price K (1997) Differential evolution\u2013a simple and efficient heuristic for global optimization over continuous spaces. J Global Optim 11(4):341\u2013359","journal-title":"J Global Optim"},{"key":"4701_CR75","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":"4701_CR76","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.eswa.2018.04.011","volume":"106","author":"AT Buba","year":"2018","unstructured":"Buba AT, Lee LS (2018) A differential evolution for simultaneous transit network design and frequency setting problem. Expert Syst Appl 106:277\u2013289","journal-title":"Expert Syst Appl"},{"key":"4701_CR77","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.eswa.2017.07.037","volume":"89","author":"U Mlakar","year":"2017","unstructured":"Mlakar U, Fister I, Brest J, Poto\u010dnik B (2017) Multi-objective differential evolution for feature selection in facial expression recognition systems. Expert Syst Appl 89:129\u2013137","journal-title":"Expert Syst Appl"},{"key":"4701_CR78","doi-asserted-by":"crossref","first-page":"698","DOI":"10.1016\/j.asoc.2018.07.021","volume":"71","author":"H Li","year":"2018","unstructured":"Li H, Gong M, Wang C, Miao Q (2018) Self-paced stacked denoising autoencoders based on differential evolution for change detection. Appl Soft Comput 71:698\u2013714","journal-title":"Appl Soft Comput"},{"key":"4701_CR79","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1016\/j.asoc.2018.08.038","volume":"73","author":"S Sayah","year":"2018","unstructured":"Sayah S (2018) Modified differential evolution approach for practical optimal reactive power dispatch of hybrid AC\u2013DC power systems. Appl Soft Comput 73:591\u2013606","journal-title":"Appl Soft Comput"},{"key":"4701_CR80","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1016\/j.eswa.2018.07.004","volume":"114","author":"MH Vali","year":"2018","unstructured":"Vali MH, Aghagolzadeh A, Baleghi Y (2018) Optimized watermarking technique using self-adaptive differential evolution based on redundant discrete wavelet transform and singular value decomposition. Expert Syst Appl 114:296\u2013312","journal-title":"Expert Syst Appl"},{"key":"4701_CR81","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.knosys.2017.10.028","volume":"140","author":"E Hancer","year":"2018","unstructured":"Hancer E, Xue B, Zhang M (2018) Differential evolution for filter feature selection based on information theory and feature ranking. Knowl-Based Syst 140:103\u2013119","journal-title":"Knowl-Based Syst"},{"issue":"1","key":"4701_CR82","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1038\/scientificamerican0792-66","volume":"267","author":"JH Holland","year":"1992","unstructured":"Holland JH (1992) Genetic algorithms. Scientific american 267(1):66\u201373","journal-title":"Genetic algorithms. Scientific american"},{"key":"4701_CR83","volume-title":"Handbook of genetic algorithms","author":"L Davis","year":"1991","unstructured":"Davis L (1991) Handbook of genetic algorithms. Van Nostrand Reinhold, New York"},{"key":"4701_CR84","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.knosys.2017.01.028","volume":"122","author":"H Keshavarz","year":"2017","unstructured":"Keshavarz H, Abadeh MS (2017) ALGA: adaptive lexicon learning using genetic algorithm for sentiment analysis of microblogs. Knowl-Based Syst 122:1\u201316","journal-title":"Knowl-Based Syst"},{"key":"4701_CR85","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.knosys.2017.07.005","volume":"134","author":"MG Raman","year":"2017","unstructured":"Raman MG, Somu N, Kirthivasan K, Liscano R, Sriram VS (2017) An efficient intrusion detection system based on hypergraph-Genetic algorithm for parameter optimization and feature selection in support vector machine. Knowl-Based Syst 134:1\u201312","journal-title":"Knowl-Based Syst"},{"key":"4701_CR86","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1016\/j.eswa.2017.11.004","volume":"96","author":"HE Tseng","year":"2018","unstructured":"Tseng HE, Chang CC, Lee SC, Huang YM (2018) A Block-based genetic algorithm for disassembly sequence planning. Expert Syst Appl 96:492\u2013505","journal-title":"Expert Syst Appl"},{"key":"4701_CR87","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.eswa.2018.07.033","volume":"114","author":"M Owais","year":"2018","unstructured":"Owais M, Osman MK (2018) Complete hierarchical multi-objective genetic algorithm for transit network design problem. Expert Syst Appl 114:143\u2013154","journal-title":"Expert Syst Appl"},{"key":"4701_CR88","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1016\/j.asoc.2018.04.033","volume":"69","author":"S Jadhav","year":"2018","unstructured":"Jadhav S, He H, Jenkins K (2018) Information gain directed genetic algorithm wrapper feature selection for credit rating. Appl Soft Comput 69:541\u2013553","journal-title":"Appl Soft Comput"},{"key":"4701_CR89","doi-asserted-by":"crossref","first-page":"622","DOI":"10.1016\/j.asoc.2018.07.023","volume":"71","author":"MAZ Raja","year":"2018","unstructured":"Raja MAZ, Mehmood A, ur Rehman A, Khan A, Zameer A (2018) Bio-inspired computational heuristics for Sisko fluid flow and heat transfer models. Appl Soft Comput 71:622\u2013648","journal-title":"Appl Soft Comput"},{"issue":"12","key":"4701_CR90","doi-asserted-by":"crossref","first-page":"3693","DOI":"10.1007\/s00521-017-2951-6","volume":"30","author":"ZR Chouhdry","year":"2018","unstructured":"Chouhdry ZR et al (2018) Design of reduced search space strategy based on integration of Nelder-Mead method and pattern search algorithm with application to economic load dispatch problem. Neural Comput Appl 30(12):3693\u20133705","journal-title":"Neural Comput Appl"},{"issue":"7\u20138","key":"4701_CR91","doi-asserted-by":"crossref","first-page":"1723","DOI":"10.1007\/s00521-014-1664-3","volume":"25","author":"MAZ Raja","year":"2014","unstructured":"Raja MAZ, Samar R (2014) Solution of the 2-dimensional Bratu problem using neural network, swarm intelligence and sequential quadratic programming. Neural Comput Appl 25(7\u20138):1723\u20131739","journal-title":"Neural Comput Appl"},{"issue":"3\u20134","key":"4701_CR92","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1007\/s10472-010-9222-x","volume":"60","author":"MAZ Raja","year":"2010","unstructured":"Raja MAZ, Khan JA, Qureshi IM (2010) A new stochastic approach for solution of Riccati differential equation of fractional order. Ann Math Artif Intell 60(3\u20134):229\u2013250","journal-title":"Ann Math Artif Intell"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-04701-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-020-04701-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-04701-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,1,15]],"date-time":"2021-01-15T01:40:53Z","timestamp":1610674853000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-020-04701-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,16]]},"references-count":92,"journal-issue":{"issue":"16","published-print":{"date-parts":[[2020,8]]}},"alternative-id":["4701"],"URL":"https:\/\/doi.org\/10.1007\/s00521-020-04701-4","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1,16]]},"assertion":[{"value":"12 November 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 January 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 January 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}