{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T15:51:29Z","timestamp":1778082689277,"version":"3.51.4"},"reference-count":66,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2019,3,12]],"date-time":"2019-03-12T00:00:00Z","timestamp":1552348800000},"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 &amp; Applic"],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1007\/s00521-019-04133-9","type":"journal-article","created":{"date-parts":[[2019,3,12]],"date-time":"2019-03-12T10:26:21Z","timestamp":1552386381000},"page":"6253-6282","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Novel computing paradigms for parameter estimation in power signal models"],"prefix":"10.1007","volume":"32","author":[{"given":"Ammara","family":"Mehmood","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naveed Ishtiaq","family":"Chaudhary","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3837-5775","authenticated-orcid":false,"given":"Aneela","family":"Zameer","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":[[2019,3,12]]},"reference":[{"key":"4133_CR1","volume-title":"Power electronics handbook: devices, circuits and applications","author":"MH Rashid","year":"2010","unstructured":"Rashid MH (2010) Power electronics handbook: devices, circuits and applications. Academic press, Cambridge"},{"key":"4133_CR2","volume-title":"Fundamentals of power electronics","author":"RW Erickson","year":"2007","unstructured":"Erickson RW, Maksimovic D (2007) Fundamentals of power electronics. Springer, Berlin"},{"key":"4133_CR3","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.ijepes.2015.08.017","volume":"75","author":"PK Ray","year":"2016","unstructured":"Ray PK, Puhan PS, Panda G (2016) Real time harmonics estimation of distorted power system signal. Int J Electr Power Energy Syst 75:91\u201398","journal-title":"Int J Electr Power Energy Syst"},{"key":"4133_CR4","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.ijepes.2017.09.033","volume":"96","author":"RJ Hamidi","year":"2018","unstructured":"Hamidi RJ, Livani H (2018) Adaptive single-phase auto-reclosing method using power line carrier signals. Int J Electr Power Energy Syst 96:64\u201373","journal-title":"Int J Electr Power Energy Syst"},{"key":"4133_CR5","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1016\/j.ijepes.2015.12.028","volume":"78","author":"SK Singh","year":"2016","unstructured":"Singh SK, Sinha N, Goswami AK, Sinha N (2016) Several variants of Kalman Filter algorithm for power system harmonic estimation. Int J Electr Power Energy Syst 78:793\u2013800","journal-title":"Int J Electr Power Energy Syst"},{"issue":"1","key":"4133_CR6","first-page":"74","volume":"1","author":"UD Dwivedi","year":"2008","unstructured":"Dwivedi UD, Shakya D, Singh SN (2008) Power quality monitoring and analysis: an overview and key issues. Int J Syst Signal Control Eng Appl 1(1):74\u201388","journal-title":"Int J Syst Signal Control Eng Appl"},{"issue":"2","key":"4133_CR7","doi-asserted-by":"crossref","first-page":"1064","DOI":"10.1109\/TPWRD.2007.893187","volume":"22","author":"H Qian","year":"2007","unstructured":"Qian H, Zhao R, Chen T (2007) Interharmonics analysis based on interpolating windowed FFT algorithm. IEEE Trans Power Deliv 22(2):1064\u20131069","journal-title":"IEEE Trans Power Deliv"},{"key":"4133_CR8","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.dsp.2015.09.014","volume":"48","author":"J Bian","year":"2016","unstructured":"Bian J, Xing J, Liu J, Li Z, Li H (2016) An adaptive and computationally efficient algorithm for parameters estimation of superimposed exponential signals with observations missing randomly. Digit Signal Proc 48:148\u2013162","journal-title":"Digit Signal Proc"},{"issue":"11","key":"4133_CR9","first-page":"106","volume":"96","author":"ZD Bai","year":"1999","unstructured":"Bai ZD, Rao CR, Wu YH, Zen MM, Zhao LC (1999) The simultaneous estimation of the number of signals and frequencies of multiple sinusoids when some observations are missing: I. Asymptotics. Proc Natl Acad Sci USA 96(11):106\u2013111","journal-title":"Proc Natl Acad Sci USA"},{"issue":"5","key":"4133_CR10","doi-asserted-by":"crossref","first-page":"854","DOI":"10.1016\/j.mcm.2010.05.015","volume":"52","author":"Y Cao","year":"2010","unstructured":"Cao Y, Liu Z (2010) Signal frequency and parameter estimation for power systems using the hierarchical identification principle. Math Comput Model 52(5):854\u2013861","journal-title":"Math Comput Model"},{"issue":"4","key":"4133_CR11","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1007\/s00034-016-0378-4","volume":"36","author":"L Xu","year":"2017","unstructured":"Xu L, Ding F (2017) Recursive least squares and multi-innovation stochastic gradient parameter estimation methods for signal modeling. Circuits Syst Signal Process 36(4):1735\u20131753","journal-title":"Circuits Syst Signal Process"},{"key":"4133_CR12","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.sigpro.2017.08.009","volume":"142","author":"S Zubair","year":"2018","unstructured":"Zubair S, Chaudhary NI, Khan ZA, Wang W (2018) Momentum fractional LMS for power signal parameter estimation. Sig Process 142:441\u2013449","journal-title":"Sig Process"},{"key":"4133_CR13","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.dsp.2017.10.013","volume":"72","author":"B Barkat","year":"2018","unstructured":"Barkat B (2018) A quadratic model for the far-field direction of arrival estimation. Digit Signal Proc 72:208\u2013215","journal-title":"Digit Signal Proc"},{"key":"4133_CR14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ijepes.2014.11.006","volume":"67","author":"SK Singh","year":"2015","unstructured":"Singh SK, Goswami AK, Sinha N (2015) Power system harmonic parameter estimation using Bilinear Recursive Least Square (BRLS) algorithm. Int J Electr Power Energy Syst 67:1\u201310","journal-title":"Int J Electr Power Energy Syst"},{"issue":"5","key":"4133_CR15","doi-asserted-by":"crossref","first-page":"2353","DOI":"10.1109\/TPWRD.2015.2422139","volume":"30","author":"M Badoni","year":"2015","unstructured":"Badoni M, Singh A, Singh B (2015) Variable forgetting factor recursive least square control algorithm for DSTATCOM. IEEE Trans Power Deliv 30(5):2353\u20132361","journal-title":"IEEE Trans Power Deliv"},{"key":"4133_CR16","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1016\/j.ijepes.2015.04.018","volume":"73","author":"SK Singh","year":"2015","unstructured":"Singh SK, Sinha N, Goswami AK, Sinha N (2015) Variable Constraint based Least Mean Square algorithm for power system harmonic parameter estimation. Int J Electr Power Energy Syst 73:218\u2013228","journal-title":"Int J Electr Power Energy Syst"},{"key":"4133_CR17","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.asoc.2017.01.011","volume":"54","author":"N Ve\u010dek","year":"2017","unstructured":"Ve\u010dek N, \u010crepin\u0161ek M, Mernik M (2017) On the influence of the number of algorithms, problems, and independent runs in the comparison of evolutionary algorithms. Appl Soft Comput 54:23\u201345","journal-title":"Appl Soft Comput"},{"key":"4133_CR18","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.asoc.2017.01.038","volume":"55","author":"M Ravber","year":"2017","unstructured":"Ravber M, Mernik M, \u010crepin\u0161ek M (2017) The impact of quality indicators on the rating of multi-objective evolutionary algorithms. Appl Soft Comput 55:265\u2013275","journal-title":"Appl Soft Comput"},{"key":"4133_CR19","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.asoc.2017.02.031","volume":"56","author":"D Jesenko","year":"2017","unstructured":"Jesenko D, Mernik M, \u017dalik B, Mongus D (2017) Two-level evolutionary algorithm for discovering relations between nodes\u2019 features in a complex network. Appl Soft Comput 56:82\u201393","journal-title":"Appl Soft Comput"},{"key":"4133_CR20","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1016\/j.asoc.2017.08.024","volume":"61","author":"C He","year":"2017","unstructured":"He C, Tian Y, Jin Y, Zhang X, Pan L (2017) A radial space division based evolutionary algorithm for many-objective optimization. Appl Soft Comput 61:603\u2013621","journal-title":"Appl Soft Comput"},{"key":"4133_CR21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neucom.2016.08.079","volume":"221","author":"Z Masood","year":"2017","unstructured":"Masood Z et al (2017) Design of Mexican Hat Wavelet neural networks for solving Bratu type nonlinear systems. Neurocomputing 221:1\u201314","journal-title":"Neurocomputing"},{"key":"4133_CR22","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1016\/j.asoc.2015.10.015","volume":"38","author":"MAZ Raja","year":"2016","unstructured":"Raja MAZ, Farooq U, Chaudhary NI, Wazwaz AM (2016) Stochastic numerical solver for nanofluidic problems containing multi-walled carbon nanotubes. Appl Soft Comput 38:561\u2013586","journal-title":"Appl Soft Comput"},{"key":"4133_CR23","unstructured":"Raja MAZ, Mehmood A, Niazi SA, Shah SM Computational intelligence methodology for the analysis of RC circuit modelled with nonlinear differential order system. Neural Comput Appl 1\u201320"},{"issue":"3","key":"4133_CR24","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1080\/09540091.2014.907555","volume":"26","author":"MAZ Raja","year":"2014","unstructured":"Raja MAZ (2014) Solution of the one-dimensional Bratu equation arising in the fuel ignition model using ANN optimised with PSO and SQP. Connect Sci 26(3):195\u2013214","journal-title":"Connect Sci"},{"key":"4133_CR25","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1016\/j.asoc.2017.04.048","volume":"57","author":"AA Heidari","year":"2017","unstructured":"Heidari AA, Abbaspour RA, Jordehi AR (2017) Gaussian bare-bones water cycle algorithm for optimal reactive power dispatch in electrical power systems. Appl Soft Comput 57:657\u2013671","journal-title":"Appl Soft Comput"},{"key":"4133_CR26","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/j.asoc.2017.12.026","volume":"64","author":"AA El-Fergany","year":"2018","unstructured":"El-Fergany AA, Hasanien HM (2018) Tree-seed algorithm for solving optimal power flow problem in large-scale power systems incorporating validations and comparisons. Appl Soft Comput 64:307\u2013316","journal-title":"Appl Soft Comput"},{"issue":"12","key":"4133_CR27","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":"4133_CR28","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"},{"key":"4133_CR29","unstructured":"Raja MAZ, Aslam MS, Chaudhary NI, Nawaz M, Shah SM Design of hybrid nature-inspired heuristics with application to active noise control systems. Neural Comput Appl pp 1\u201329"},{"key":"4133_CR30","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1016\/j.asoc.2018.02.017","volume":"66","author":"N Hitomi","year":"2018","unstructured":"Hitomi N, Selva D (2018) Incorporating expert knowledge into evolutionary algorithms with operators and constraints to design satellite systems. Appl Soft Comput 66:330\u2013345","journal-title":"Appl Soft Comput"},{"key":"4133_CR31","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":"4133_CR32","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. https:\/\/doi.org\/10.1016\/j.neucom.2016.09.032","journal-title":"Neurocomputing"},{"key":"4133_CR33","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":"4133_CR34","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, Masood Z, Samar R, Raja MAZ (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":"4133_CR35","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\u2013Emden systems arising in astrophysics model. SpringerPlus 5(1):1866","journal-title":"SpringerPlus"},{"issue":"1","key":"4133_CR36","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\u2013Fermi model of an atom using bio-inspired heuristics integrated with sequential quadratic Programming. SpringerPlus 5(1):1400","journal-title":"SpringerPlus"},{"issue":"1","key":"4133_CR37","doi-asserted-by":"crossref","first-page":"1475","DOI":"10.1007\/s11277-017-4251-y","volume":"96","author":"S Akbar","year":"2017","unstructured":"Akbar S et al (2017) Design of bio-inspired heuristic techniques hybridized with sequential quadratic programming for joint parameters estimation of electromagnetic plane waves. Wireless Pers Commun 96(1):1475\u20131494","journal-title":"Wireless Pers Commun"},{"key":"4133_CR38","doi-asserted-by":"crossref","first-page":"1186","DOI":"10.1016\/j.asoc.2017.06.041","volume":"61","author":"E Naderi","year":"2017","unstructured":"Naderi E, Azizivahed A, Narimani H, Fathi M, Narimani MR (2017) A comprehensive study of practical economic dispatch problems by a new hybrid evolutionary algorithm. Appl Soft Comput 61:1186\u20131206","journal-title":"Appl Soft Comput"},{"issue":"1","key":"4133_CR39","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"},{"issue":"8","key":"4133_CR40","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1016\/j.aml.2013.02.012","volume":"26","author":"X Li","year":"2013","unstructured":"Li X, Ding F (2013) Signal modeling using the gradient search. Appl Math Lett 26(8):807\u2013813","journal-title":"Appl Math Lett"},{"issue":"7","key":"4133_CR41","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1049\/iet-spr.2015.0280","volume":"10","author":"L Zhou","year":"2016","unstructured":"Zhou L, Li X, Xu H, Zhu P (2016) Multi-innovation stochastic gradient method for harmonic modelling of power signals. IET Signal Proc 10(7):737\u2013742","journal-title":"IET Signal Proc"},{"key":"4133_CR42","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.isatra.2017.03.011","volume":"68","author":"NI Chaudhary","year":"2017","unstructured":"Chaudhary NI, Zubair S, Raja MAZ (2017) A new computing approach for power signal modeling using fractional adaptive algorithms. ISA Trans 68:189\u2013202","journal-title":"ISA Trans"},{"issue":"4","key":"4133_CR43","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\u2014a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11(4):341\u2013359","journal-title":"J Glob Optim"},{"key":"4133_CR44","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.asoc.2016.12.043","volume":"54","author":"DM Diab","year":"2017","unstructured":"Diab DM, El Hindi KM (2017) Using differential evolution for fine tuning na\u00efve Bayesian classifiers and its application for text classification. Appl Soft Comput 54:183\u2013199","journal-title":"Appl Soft Comput"},{"key":"4133_CR45","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1016\/j.asoc.2017.01.004","volume":"53","author":"WS Sakr","year":"2017","unstructured":"Sakr WS, El-Sehiemy RA, Azmy AM (2017) Adaptive differential evolution algorithm for efficient reactive power management. Appl Soft Comput 53:336\u2013351","journal-title":"Appl Soft Comput"},{"key":"4133_CR46","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.asoc.2017.07.054","volume":"61","author":"ZK Feng","year":"2017","unstructured":"Feng ZK, Niu WJ, Zhou JZ, Cheng CT, Zhang YC (2017) Scheduling of short-term hydrothermal energy system by parallel multi-objective differential evolution. Appl Soft Comput 61:58\u201371","journal-title":"Appl Soft Comput"},{"key":"4133_CR47","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1016\/j.ijepes.2016.01.047","volume":"80","author":"K Rajesh","year":"2016","unstructured":"Rajesh K, Kannan S, Thangaraj C (2016) Least cost generation expansion planning with wind power plant incorporating emission using differential evolution algorithm. Int J Electr Power Energy Syst 80:275\u2013286","journal-title":"Int J Electr Power Energy Syst"},{"issue":"8","key":"4133_CR48","doi-asserted-by":"crossref","first-page":"2165","DOI":"10.1007\/s00521-016-2185-z","volume":"28","author":"MF Fateh","year":"2017","unstructured":"Fateh MF et al (2017) Biologically inspired computing framework for solving two-point boundary value problems using differential evolution. Neural Comput Appl 28(8):2165\u20132179","journal-title":"Neural Comput Appl"},{"issue":"1","key":"4133_CR49","doi-asserted-by":"crossref","first-page":"015201","DOI":"10.1063\/1.5011727","volume":"8","author":"A Ara","year":"2018","unstructured":"Ara A et al (2018) Numerical simulation for Jeffery\u2013Hamel flow and heat transfer of micropolar fluid based on differential evolution algorithm. AIP Adv 8(1):015201","journal-title":"AIP Adv"},{"key":"4133_CR50","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2016.01.004","volume":"27","author":"S Das","year":"2016","unstructured":"Das S, Mullick SS, Suganthan PN (2016) Recent advances in differential evolution\u2014an updated survey. Swarm Evolut Comput 27:1\u201330","journal-title":"Swarm Evolut Comput"},{"key":"4133_CR51","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2016.05.003","volume":"32","author":"AP Piotrowski","year":"2017","unstructured":"Piotrowski AP (2017) Review of differential evolution population size. Swarm Evolut Comput 32:1\u201324","journal-title":"Swarm Evolut Comput"},{"key":"4133_CR52","doi-asserted-by":"crossref","first-page":"1206","DOI":"10.1016\/j.rser.2017.03.097","volume":"77","author":"L Jebaraj","year":"2017","unstructured":"Jebaraj L, Venkatesan C, Soubache I, Rajan CCA (2017) Application of differential evolution algorithm in static and dynamic economic or emission dispatch problem: a review. Renew Sustain Energy Rev 77:1206\u20131220","journal-title":"Renew Sustain Energy Rev"},{"issue":"1","key":"4133_CR53","doi-asserted-by":"crossref","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 Evol Comput 15(1):4\u201331","journal-title":"IEEE Trans Evol Comput"},{"key":"4133_CR54","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/3927.001.0001","volume-title":"An introduction to genetic algorithms","author":"M Mitchell","year":"1998","unstructured":"Mitchell M (1998) An introduction to genetic algorithms. MIT Press, Cambridge"},{"key":"4133_CR55","doi-asserted-by":"crossref","unstructured":"Coley DA (1999) An introduction to genetic algorithms for scientists and engineers. World Scientific Publishing Company","DOI":"10.1142\/3904"},{"key":"4133_CR56","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1016\/j.rser.2017.08.047","volume":"81","author":"R\u00c1 Fern\u00e1ndez","year":"2018","unstructured":"Fern\u00e1ndez R\u00c1, Caraballo SC, Cilleruelo FB, Lozano JA (2018) Fuel optimization strategy for hydrogen fuel cell range extender vehicles applying genetic algorithms. Renew Sustain Energy Rev 81:655\u2013668","journal-title":"Renew Sustain Energy Rev"},{"key":"4133_CR57","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.asoc.2018.02.024","volume":"67","author":"A Mehmood","year":"2018","unstructured":"Mehmood A et al (2018) Intelligent computing to analyze the dynamics of Magnetohydrodynamic flow over stretchable rotating disk model. Appl Soft Comput 67:8\u201328","journal-title":"Appl Soft Comput"},{"key":"4133_CR58","doi-asserted-by":"crossref","first-page":"1220","DOI":"10.1016\/j.jhydrol.2017.04.017","volume":"556","author":"P Horton","year":"2018","unstructured":"Horton P, Jaboyedoff M, Obled C (2018) Using genetic algorithms to optimize the analogue method for precipitation prediction in the Swiss Alps. J Hydrol 556:1220\u20131231","journal-title":"J Hydrol"},{"issue":"2","key":"4133_CR59","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1631\/FITEE.1601028","volume":"19","author":"MAZ Raja","year":"2018","unstructured":"Raja MAZ, Aslam MS, Chaudhary NI, Khan WU (2018) Bio-inspired heuristics hybrid with interior-point method for active noise control systems without identification of secondary path. Front Inf Technol Electron Eng 19(2):246\u2013259","journal-title":"Front Inf Technol Electron Eng"},{"issue":"2","key":"4133_CR60","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1016\/j.ejor.2017.09.034","volume":"266","author":"A Oztekin","year":"2018","unstructured":"Oztekin A, Al-Ebbini L, Sevkli Z, Delen D (2018) A decision analytic approach to predicting quality of life for lung transplant recipients: a hybrid genetic algorithms-based methodology. Eur J Oper Res 266(2):639\u2013651","journal-title":"Eur J Oper Res"},{"issue":"4","key":"4133_CR61","doi-asserted-by":"crossref","first-page":"1169","DOI":"10.1007\/s00521-016-2523-1","volume":"29","author":"MAZ Raja","year":"2018","unstructured":"Raja MAZ, Zameer A, Kiani AK, Shehzad A, Khan MAR (2018) Nature-inspired computational intelligence integration with Nelder\u2013Mead method to solve nonlinear benchmark models. Neural Comput Appl 29(4):1169\u20131193","journal-title":"Neural Comput Appl"},{"issue":"2","key":"4133_CR62","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1145\/321062.321069","volume":"8","author":"R Hooke","year":"1961","unstructured":"Hooke R, Jeeves TA (1961) Direct search solution of numerical and statistical problems. J ACM (JACM) 8(2):212\u2013229","journal-title":"J ACM (JACM)"},{"key":"4133_CR63","doi-asserted-by":"publisher","first-page":"3693","DOI":"10.1007\/s00521-017-2951-6","volume":"30","author":"ZR Chouhdry","year":"2018","unstructured":"Chouhdry ZR, Hasan KM, Raja MAZ (2018) Design of reduced search space strategy based on integration of Nelder\u2013Mead method and pattern search algorithm with application to economic load dispatch problem. Neural Comput Appl 30:3693\u20133705.\u00a0 https:\/\/doi.org\/10.1007\/s00521-017-2951-6","journal-title":"Neural Comput Appl"},{"key":"4133_CR64","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.ijepes.2016.05.009","volume":"84","author":"LS Kumar","year":"2017","unstructured":"Kumar LS, Kumar GN, Madichetty S (2017) Pattern search algorithm based automatic online parameter estimation for AGC with effects of wind power. Int J Electr Power Energy Syst 84:135\u2013142","journal-title":"Int J Electr Power Energy Syst"},{"key":"4133_CR65","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1016\/j.asoc.2016.12.046","volume":"52","author":"N Narang","year":"2017","unstructured":"Narang N, Sharma E, Dhillon JS (2017) Combined heat and power economic dispatch using integrated civilized swarm optimization and Powell\u2019s pattern search method. Appl Soft Comput 52:190\u2013202","journal-title":"Appl Soft Comput"},{"key":"4133_CR66","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.jsv.2018.02.013","volume":"422","author":"N Guo","year":"2018","unstructured":"Guo N, Yang Z, Wang L, Ouyang Y, Zhang X (2018) Dynamic model updating based on strain mode shape and natural frequency using hybrid pattern search technique. J Sound Vib 422:112\u2013130","journal-title":"J Sound Vib"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-019-04133-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-019-04133-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-019-04133-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,30]],"date-time":"2020-11-30T04:14:14Z","timestamp":1606709654000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-019-04133-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,12]]},"references-count":66,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2020,5]]}},"alternative-id":["4133"],"URL":"https:\/\/doi.org\/10.1007\/s00521-019-04133-9","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,12]]},"assertion":[{"value":"31 May 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 March 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 March 2019","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 authors declare that there is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}