{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T22:01:43Z","timestamp":1757541703696},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T00:00:00Z","timestamp":1701129600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T00:00:00Z","timestamp":1701129600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1007\/s11227-023-05775-2","type":"journal-article","created":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T07:02:18Z","timestamp":1701154938000},"page":"8719-8741","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Optimized radial basis function network for the fatigue driving modeling"],"prefix":"10.1007","volume":"80","author":[{"given":"Jos\u00e9 de Jes\u00fas","family":"Rubio","sequence":"first","affiliation":[]},{"given":"Marco Antonio","family":"Islas","sequence":"additional","affiliation":[]},{"given":"Donaldo","family":"Garcia","sequence":"additional","affiliation":[]},{"given":"Jaime","family":"Pacheco","sequence":"additional","affiliation":[]},{"given":"Alejandro","family":"Zacarias","sequence":"additional","affiliation":[]},{"given":"Carlos","family":"Aguilar-Iba\u00f1ez","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,11,28]]},"reference":[{"key":"5775_CR1","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.neunet.2020.08.006","volume":"132","author":"H Liu","year":"2020","unstructured":"Liu H, Wang Z, Fei W, Li J (2020) H-infinity and l2-l-infinity state estimation for delayed memristive neural networks on finite horizon: the round-robin protocol. Neural Netw 132:121\u2013130","journal-title":"Neural Netw"},{"key":"5775_CR2","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.neunet.2020.06.023","volume":"130","author":"J Li","year":"2020","unstructured":"Li J, Wang Z, Dong H, Fei W (2020) Delay-distribution-dependent state estimation for neural networks under stochastic communication protocol with uncertain transition probabilities. Neural Netw 130:143\u2013151","journal-title":"Neural Netw"},{"key":"5775_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2021.117853","volume":"305","author":"Q Zhou","year":"2022","unstructured":"Zhou Q, Li Y, Zhao D, Li J, Williams H, Xu H, Yan F (2022) Transferable representation modelling for real-time energy management of the plug-in hybrid vehicle based on k-fold fuzzy learning and gaussian process regression. Appl Energy 305:117853","journal-title":"Appl Energy"},{"key":"5775_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.113617","volume":"253","author":"J Li","year":"2019","unstructured":"Li J, Zhou Q, He Y, Shuai B, Li Z, Williams H, Xu H (2019) Dual-loop online intelligent programming for driver-oriented predict energy management of plug-in hybrid electric vehicles. Appl Energy 253:113617","journal-title":"Appl Energy"},{"key":"5775_CR5","doi-asserted-by":"publisher","first-page":"139739","DOI":"10.1109\/ACCESS.2021.3118948","volume":"9","author":"S Abbas","year":"2021","unstructured":"Abbas S, Javaid N, Almogren A, Gulfam SM, Ahmed A, Radwan A (2021) Securing genetic algorithm enabled sdn routing for blockchain based internet of things. IEEE Access 9:139739\u2013139754","journal-title":"IEEE Access"},{"key":"5775_CR6","doi-asserted-by":"crossref","unstructured":"DAngelo G., Palmieri F., (2021) Gga: a modified genetic algorithm with gradient-based local search for solving constrained optimization problems. Inf Sci 547:136\u2013162","DOI":"10.1016\/j.ins.2020.08.040"},{"key":"5775_CR7","doi-asserted-by":"publisher","first-page":"1751","DOI":"10.1007\/s00500-020-05250-7","volume":"25","author":"J Yang","year":"2021","unstructured":"Yang J, Hu Y, Zhang K, Wu Y (2021) An improved evolution algorithm using population competition genetic algorithm and self-correction bp neural network based on fitness landscape. Soft Comput 25:1751\u20131776","journal-title":"Soft Comput"},{"key":"5775_CR8","doi-asserted-by":"publisher","first-page":"1923","DOI":"10.1007\/s00521-020-05035-x","volume":"33","author":"KM Hamdia","year":"2021","unstructured":"Hamdia KM, Zhuang X, Rabczuk T (2021) An efficient optimization approach for designing machine learning models based on genetic algorithm. Neural Comput Appl 33:1923\u20131933","journal-title":"Neural Comput Appl"},{"key":"5775_CR9","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/j.neucom.2020.04.086","volume":"425","author":"Y Huang","year":"2021","unstructured":"Huang Y, Gao Y, Gan Y, Ye M (2021) A new financial data forecasting model using genetic algorithm and long short-term memory network. Neurocomputing 425:207\u2013218","journal-title":"Neurocomputing"},{"key":"5775_CR10","doi-asserted-by":"publisher","first-page":"7994","DOI":"10.1109\/ACCESS.2021.3049892","volume":"9","author":"Y Pan","year":"2021","unstructured":"Pan Y, Yang Y, Li W (2021) A deep learning trained by genetic algorithm to improve the efficiency of path planning for data collection with multi-uav. IEEE Access 9:7994\u20138005","journal-title":"IEEE Access"},{"key":"5775_CR11","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1016\/j.neucom.2020.06.120","volume":"428","author":"B Zhang","year":"2021","unstructured":"Zhang B, Wang X, Wang H (2021) Virtual machine placement strategy using cluster-based genetic algorithm. Neurocomputing 428:310\u2013316","journal-title":"Neurocomputing"},{"key":"5775_CR12","doi-asserted-by":"publisher","first-page":"841","DOI":"10.1016\/j.ins.2020.08.083","volume":"547","author":"Y Zhou","year":"2021","unstructured":"Zhou Y, Zhang W, Kang J, Zhang X, Wang X (2021) A problem-specific non-dominated sorting genetic algorithm for supervised feature selection. Inf Sci 547:841\u2013859","journal-title":"Inf Sci"},{"key":"5775_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.105768","volume":"119","author":"B Alouane","year":"2023","unstructured":"Alouane B, Boulif M (2023) Fuzzy constraint prioritization to solve heavily constrained problems with the genetic algorithm. Eng Appl Artif Intell 119:105768","journal-title":"Eng Appl Artif Intell"},{"key":"5775_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2022.101772","volume":"63","author":"VV Pavlovskii","year":"2022","unstructured":"Pavlovskii VV, Derevitskii IV, Kovalchuk SV (2022) Hybrid genetic predictive modeling for finding optimal multipurpose multicomponent therapy. J Comput Sci 63:101772","journal-title":"J Comput Sci"},{"key":"5775_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2022.101649","volume":"61","author":"M Durasevic","year":"2022","unstructured":"Durasevic M, Jakobovic D (2022) Selection of dispatching rules evolved by genetic programming in dynamic unrelated machines scheduling based on problem characteristics. J Comput Sci 61:101649","journal-title":"J Comput Sci"},{"key":"5775_CR16","doi-asserted-by":"publisher","first-page":"3005","DOI":"10.1007\/s11227-022-04756-1","volume":"79","author":"Z Liu","year":"2023","unstructured":"Liu Z, Wang J, Gao Z, Wei J (2023) Privacy preserving-edge computing offloading scheme based on whale optimization algorithm. J Supercomput 79:3005\u20133023","journal-title":"J Supercomput"},{"key":"5775_CR17","doi-asserted-by":"publisher","first-page":"7286","DOI":"10.1007\/s11227-022-04935-0","volume":"79","author":"E Egrioglu","year":"2023","unstructured":"Egrioglu E, Grosan C, Bas E (2023) A new genetic algorithm method based on statistical-based replacement for the training of multiplicative neuron model artificial neural networks. J Supercomput 79:7286\u20137304","journal-title":"J Supercomput"},{"key":"5775_CR18","doi-asserted-by":"publisher","first-page":"19522","DOI":"10.1007\/s11227-022-04627-9","volume":"78","author":"D Teijeiro","year":"2022","unstructured":"Teijeiro D, Amor M, Doallo R, Corbelle E, Porta J, Parapar J (2022) Land consolidation through parcel exchange among landowners using a distributed spark-based genetic algorithm. J Supercomput 78:19522\u201319544","journal-title":"J Supercomput"},{"key":"5775_CR19","doi-asserted-by":"publisher","first-page":"19725","DOI":"10.1007\/s11227-022-04650-w","volume":"78","author":"S Abasabadi","year":"2022","unstructured":"Abasabadi S, Nematzadeh H, Motameni H, Akbari E (2022) Hybrid feature selection based on sli and genetic algorithm for microarray datasets. J Supercomput 78:19725\u201319753","journal-title":"J Supercomput"},{"key":"5775_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfca.2022.104978","volume":"115","author":"MQM Silva","year":"2023","unstructured":"Silva MQM, Valente IM, Almeida PJ, Rodrigo Santos J (2023) Carbon dioxide spectrophotometric determination in whole roasted coffee beans using a total analysis system after super-modified simplex optimization. J Food Compos Anal 115:104978","journal-title":"J Food Compos Anal"},{"key":"5775_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.rineng.2022.100806","volume":"17","author":"MCH Mok","year":"2023","unstructured":"Mok MCH, Yeoh CV, Tan MK, Foo JJ (2023) Space-filling single square and square fractal grids induced turbulence: reynolds stress model parameters-optimization. Results Eng 17:100806","journal-title":"Results Eng"},{"key":"5775_CR22","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1016\/j.neunet.2023.02.010","volume":"161","author":"JJ Rubio","year":"2023","unstructured":"Rubio JJ (2023) Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots. Neural Netw 161:437\u2013448","journal-title":"Neural Netw"},{"issue":"24","key":"5775_CR23","doi-asserted-by":"publisher","first-page":"3160","DOI":"10.3390\/math9243160","volume":"9","author":"LA Soriano","year":"2021","unstructured":"Soriano LA, Rubio JJ, Orozco E, Cordova DA, Ochoa G, Balcazar R, Cruz DR, Meda-Campa\u00f1a JA, Zacarias A, Gutierrez GJ (2021) Optimization of sliding mode control to save energy in a scara robot. Mathematics 9(24):3160","journal-title":"Mathematics"},{"key":"5775_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2022.125961","volume":"263","author":"H Wang","year":"2023","unstructured":"Wang H, Ji C, Shi C, Yang J, Wang S, Ge Y, Chang K, Meng H, Wang X (2023) Multi-objective optimization of a hydrogen-fueled wankel rotary engine based on machine learning and genetic algorithm. Energy 263:125961","journal-title":"Energy"},{"key":"5775_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.engfailanal.2023.107209","volume":"148","author":"PW Khan","year":"2023","unstructured":"Khan PW, Yeun CY, Byun YC (2023) Fault detection of wind turbines using scada data and genetic algorithm-based ensemble learning. Eng Fail Anal 148:107209","journal-title":"Eng Fail Anal"},{"key":"5775_CR26","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.jcis.2023.02.030","volume":"640","author":"B Li","year":"2023","unstructured":"Li B, Shen L, Zhao Y, Yu W, Lin H, Chen C, Li Y, Zeng Q (2023) Quantification of interfacial interaction related with adhesive membrane fouling by genetic algorithm back propagation (gabp) neural network. J Colloid Interface Sci 640:110\u2013120","journal-title":"J Colloid Interface Sci"},{"key":"5775_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.110296","volume":"142","author":"G Acampora","year":"2023","unstructured":"Acampora G, Chiatto A, Vitiello A (2023) Genetic algorithms as classical optimizer for the quantum approximate optimization algorithm. Appl Soft Comput 142:110296","journal-title":"Appl Soft Comput"},{"key":"5775_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2023.107694","volume":"206","author":"Y Ye","year":"2023","unstructured":"Ye Y, Huang Q, Rong Y, Yu X, Liang W, Chen Y, Xiong S (2023) Field detection of small pests through stochastic gradient descent with genetic algorithm. Comput Electr Agric 206:107694","journal-title":"Comput Electr Agric"},{"key":"5775_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2022.126112","volume":"263","author":"Y Wang","year":"2023","unstructured":"Wang Y, Zhang Y, Zhang C, Zhou J, Hu D, Yi F, Fan Z, Zeng T (2023) Genetic algorithm-based fuzzy optimization of energy management strategy for fuel cell vehicles considering driving cycles recognition. Energy 263:126112","journal-title":"Energy"},{"key":"5775_CR30","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.matcom.2022.05.020","volume":"204","author":"H Cui","year":"2023","unstructured":"Cui H, Qiu J, Cao J, Guo M, Chen X, Gorbachev S (2023) Route optimization in township logistics distribution considering customer satisfaction based on adaptive genetic algorithm. Math Comput Simul 204:28\u201342","journal-title":"Math Comput Simul"},{"key":"5775_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2023.106222","volume":"155","author":"B Tutumlu","year":"2023","unstructured":"Tutumlu B, Sarac T (2023) A mip model and a hybrid genetic algorithm for flexible job-shop scheduling problem with job-splitting. Comput Oper Res 155:106222","journal-title":"Comput Oper Res"},{"key":"5775_CR32","doi-asserted-by":"crossref","unstructured":"Gorp R, V., Heijden M. V. d., Sadeghi M. A., Gostick J., Forner-Cuenca A., (2023) Bottom-up design of porous electrodes by combining a genetic algorithm and a pore network model. Chem Eng J 455:139947","DOI":"10.1016\/j.cej.2022.139947"},{"key":"5775_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.109922","volume":"133","author":"Y Wang","year":"2023","unstructured":"Wang Y, Wei Y, Wang X, Wang Z, Wang H (2023) A clustering-based extended genetic algorithm for the multidepot vehicle routing problem with time windows and three-dimensional loading constraints. Appl Soft Comput 133:109922","journal-title":"Appl Soft Comput"},{"key":"5775_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2023.103109","volume":"142","author":"H Liu","year":"2023","unstructured":"Liu H, Niu Z, Du J, Lin X (2023) Genetic algorithm for delay efficient computation offloading in dispersed computing. Ad Hoc Netw 142:103109","journal-title":"Ad Hoc Netw"},{"key":"5775_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2022.103041","volume":"139","author":"M-S Shahryari","year":"2023","unstructured":"Shahryari M-S, Farzinvash L, Feizi-Derakhshi M-R, Taherkordi A (2023) High-throughput and energy-efficient data gathering in heterogeneous multi-channel wireless sensor networks using genetic algorithm. Ad Hoc Netw 139:103041","journal-title":"Ad Hoc Netw"},{"key":"5775_CR36","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijfatigue.2023.107609","volume":"172","author":"Y Wang","year":"2023","unstructured":"Wang Y, Zhu Z, Sha A, Hao W (2023) Low cycle fatigue life prediction of titanium alloy using genetic algorithm-optimized bp artificial neural network. Int J Fatigue 172:107609","journal-title":"Int J Fatigue"},{"key":"5775_CR37","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.aej.2022.07.025","volume":"62","author":"C Liu","year":"2023","unstructured":"Liu C, Zhang F, Zhang H, Shi Z, Zhu H (2023) Optimization of assembly sequence of building components based on simulated annealing genetic algorithm. Alex Eng J 62:257\u2013268","journal-title":"Alex Eng J"},{"key":"5775_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.micpro.2022.104749","volume":"96","author":"DJ Bahadur","year":"2023","unstructured":"Bahadur DJ, Lakshmanan L (2023) A novel method for optimizing energy consumption in wireless sensor network using genetic algorithm. Microprocess Microsyst 96:104749","journal-title":"Microprocess Microsyst"},{"key":"5775_CR39","doi-asserted-by":"publisher","DOI":"10.1016\/j.array.2022.100266","volume":"17","author":"Y Qin","year":"2023","unstructured":"Qin Y, Li Z, Ding J, Zhao F, Meng M (2023) Automatic optimization model of transmission line based on gis and genetic algorithm. Array 17:100266","journal-title":"Array"},{"key":"5775_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.109998","volume":"135","author":"M Shameem","year":"2023","unstructured":"Shameem M, Nadeem M, Zamani AT (2023) Genetic algorithm based probabilistic model for agile project success in global software development. Appl Soft Comput 135:109998","journal-title":"Appl Soft Comput"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-023-05775-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11227-023-05775-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-023-05775-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T13:15:44Z","timestamp":1713446144000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11227-023-05775-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,28]]},"references-count":40,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2024,5]]}},"alternative-id":["5775"],"URL":"https:\/\/doi.org\/10.1007\/s11227-023-05775-2","relation":{},"ISSN":["0920-8542","1573-0484"],"issn-type":[{"value":"0920-8542","type":"print"},{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,28]]},"assertion":[{"value":"27 October 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 November 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there are no competing interests regarding the publication of this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}