{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:34:22Z","timestamp":1781109262354,"version":"3.54.1"},"reference-count":67,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T00:00:00Z","timestamp":1675036800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T00:00:00Z","timestamp":1675036800000},"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":["Neural Comput & Applic"],"DOI":"10.1007\/s00521-023-08295-5","type":"journal-article","created":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T20:08:32Z","timestamp":1675109312000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Hardware implementation of particle swarm optimization with chaotic fractional-order"],"prefix":"10.1007","author":[{"given":"Aymen","family":"Zermani","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ghaith","family":"Manita","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elyes","family":"Feki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdelkader","family":"Mami","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,1,30]]},"reference":[{"issue":"4","key":"8295_CR1","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1162\/106365600568220","volume":"8","author":"JH Holland","year":"2000","unstructured":"Holland JH (2000) Building blocks, cohort genetic algorithms, and hyperplane-defined functions. Evol Comput 8(4):373\u2013391","journal-title":"Evol Comput"},{"key":"8295_CR2","first-page":"606","volume":"145","author":"J Holland","year":"1975","unstructured":"Holland J (1975) An efficient genetic algorithm for the traveling salesman problem. Eur J Oper Res 145:606\u2013617","journal-title":"Eur J Oper Res"},{"issue":"4","key":"8295_CR3","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-a simple and efficient heuristic for global optimization over continuous spaces. J Global Optim 11(4):341\u2013359","journal-title":"J Global Optim"},{"issue":"2","key":"8295_CR4","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1109\/4235.771163","volume":"3","author":"X Yao","year":"1999","unstructured":"Yao X, Liu Y, Lin G (1999) Evolutionary programming made faster. IEEE Trans Evol Comput 3(2):82\u2013102","journal-title":"IEEE Trans Evol Comput"},{"issue":"6","key":"8295_CR5","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1109\/TEVC.2008.919004","volume":"12","author":"D Simon","year":"2008","unstructured":"Simon D (2008) Biogeography-based optimization. IEEE Trans Evol Comput 12(6):702\u2013713","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"8295_CR6","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.advengsoft.2005.04.005","volume":"37","author":"OK Erol","year":"2006","unstructured":"Erol OK, Eksin I (2006) A new optimization method: big bang-big crunch. Adv Eng Softw 37(2):106\u2013111","journal-title":"Adv Eng Softw"},{"issue":"13","key":"8295_CR7","doi-asserted-by":"crossref","first-page":"2232","DOI":"10.1016\/j.ins.2009.03.004","volume":"179","author":"E Rashedi","year":"2009","unstructured":"Rashedi E, Nezamabadi-Pour H, Saryazdi S (2009) GSA: a gravitational search algorithm. Inf Sci 179(13):2232\u20132248","journal-title":"Inf Sci"},{"key":"8295_CR8","unstructured":"Webster B, Bernhard PJ (2003) A local search optimization algorithm based on natural principles of gravitation. Tech Rep"},{"key":"8295_CR9","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.compstruc.2012.09.003","volume":"112","author":"A Kaveh","year":"2012","unstructured":"Kaveh A, Khayatazad M (2012) A new meta-heuristic method: ray optimization. Comput Struct 112:283\u2013294","journal-title":"Comput Struct"},{"key":"8295_CR10","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of ICNN\u201995-international conference on neural networks, vol. 4, pp. 1942\u20131948. IEEE","DOI":"10.1109\/ICNN.1995.488968"},{"key":"8295_CR11","doi-asserted-by":"crossref","unstructured":"Abbass HA (2001) MBO: Marriage in honey bees optimization-A haplometrosis polygynous swarming approach. In: Proceedings of the 2001 congress on evolutionary computation (IEEE Cat. No. 01TH8546), vol. 1, pp. 207\u2013214. IEEE","DOI":"10.1109\/CEC.2001.934391"},{"key":"8295_CR12","unstructured":"Azizi R (2014) Empirical study of artificial fish swarm algorithm. arXiv preprint arXiv:1405.4138"},{"issue":"3","key":"8295_CR13","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J Global Optim 39(3):459\u2013471","journal-title":"J Global Optim"},{"key":"8295_CR14","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.advengsoft.2017.07.002","volume":"114","author":"S Mirjalili","year":"2017","unstructured":"Mirjalili S, Gandomi AH, Mirjalili SZ, Saremi S, Faris H, Mirjalili SM (2017) Salp Swarm Algorithm: a bio-inspired optimizer for engineering design problems. Adv Eng Softw 114:163\u2013191","journal-title":"Adv Eng Softw"},{"issue":"3","key":"8295_CR15","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.cad.2010.12.015","volume":"43","author":"RV Rao","year":"2011","unstructured":"Rao RV, Savsani VJ, Vakharia D (2011) Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput Aided Des 43(3):303\u2013315","journal-title":"Comput Aided Des"},{"issue":"2","key":"8295_CR16","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1177\/003754970107600201","volume":"76","author":"ZW Geem","year":"2001","unstructured":"Geem ZW, Kim JH, Loganathan GV (2001) A new heuristic optimization algorithm: harmony search. Simulation 76(2):60\u201368","journal-title":"Simulation"},{"issue":"4\u20135","key":"8295_CR17","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1016\/S0167-8191(05)80147-4","volume":"17","author":"\u00c9 Taillard","year":"1991","unstructured":"Taillard \u00c9 (1991) Robust taboo search for the quadratic assignment problem. Parallel Comput 17(4\u20135):443\u2013455","journal-title":"Parallel Comput"},{"key":"8295_CR18","doi-asserted-by":"crossref","unstructured":"Kashan AH (2009) League championship algorithm: a new algorithm for numerical function optimization. In: Soft Computing and Pattern Recognition, 2009. SOCPAR\u201909. International Conference Of, pp. 43\u201348. IEEE","DOI":"10.1109\/SoCPaR.2009.21"},{"issue":"2","key":"8295_CR19","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1007\/s00500-016-2474-6","volume":"22","author":"D Wang","year":"2018","unstructured":"Wang D, Tan D, Liu L (2018) Particle swarm optimization algorithm: an overview. Soft Comput 22(2):387\u2013408","journal-title":"Soft Comput"},{"issue":"7","key":"8295_CR20","first-page":"19","volume":"13","author":"M Shaikh","year":"2022","unstructured":"Shaikh M, Yadav D (2022) A review of particle swarm optimization (PSO) algorithm. Technology (IJMET) 13(7):19\u201344","journal-title":"Technology (IJMET)"},{"key":"8295_CR21","doi-asserted-by":"crossref","first-page":"85989","DOI":"10.1109\/ACCESS.2020.2992752","volume":"8","author":"B Ji","year":"2020","unstructured":"Ji B, Lu X, Sun G, Zhang W, Li J, Xiao Y (2020) Bio-inspired feature selection: an improved binary particle swarm optimization approach. IEEE Access 8:85989\u201386002","journal-title":"IEEE Access"},{"key":"8295_CR22","doi-asserted-by":"crossref","first-page":"182289","DOI":"10.1109\/ACCESS.2019.2959064","volume":"7","author":"B Xiong","year":"2019","unstructured":"Xiong B, Li Y, Huang M, Shi W, Du M, Yang Y (2019) Feature selection of input variables for intelligence joint moment prediction based on binary particle swarm optimization. IEEE Access 7:182289\u2013182295","journal-title":"IEEE Access"},{"issue":"3","key":"8295_CR23","doi-asserted-by":"crossref","first-page":"79","DOI":"10.3390\/axioms8030079","volume":"8","author":"J Too","year":"2019","unstructured":"Too J, Abdullah AR, Mohd Saad N (2019) Hybrid binary particle swarm optimization differential evolution-based feature selection for EMG signals classification. Axioms 8(3):79","journal-title":"Axioms"},{"issue":"3","key":"8295_CR24","doi-asserted-by":"crossref","first-page":"2207","DOI":"10.1007\/s11277-020-07968-x","volume":"117","author":"B Xia","year":"2021","unstructured":"Xia B, Liu T, Ding T, Wang Z (2021) An improved PSO localization algorithm for UWB sensor networks. Wireless Pers Commun 117(3):2207\u20132223","journal-title":"Wireless Pers Commun"},{"key":"8295_CR25","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/743728","author":"Y Hu","year":"2012","unstructured":"Hu Y, Ding Y, Hao K (2012) An immune cooperative particle swarm optimization algorithm for fault-tolerant routing optimization in heterogeneous wireless sensor networks. Math Problems Eng. https:\/\/doi.org\/10.1155\/2012\/743728","journal-title":"Math Problems Eng"},{"issue":"4","key":"8295_CR26","first-page":"288","volume":"31","author":"Z-J Teng","year":"2020","unstructured":"Teng Z-J, Xie L-Y, Chen H-L, Zhang H (2020) Application research of chaotic binary particle swarm optimization algorithm in dynamic spectrum allocation. J Comput 31(4):288\u2013299","journal-title":"J Comput"},{"key":"8295_CR27","volume":"80","author":"Y Zhao","year":"2021","unstructured":"Zhao Y, Yu X, Wu H, Zhou Y, Sun X, Yu S, Yu S, Liu H (2021) A fast 2-D Otsu lung tissue image segmentation algorithm based on improved PSO. Microprocess Microsyst 80:103527","journal-title":"Microprocess Microsyst"},{"issue":"14","key":"8295_CR28","doi-asserted-by":"crossref","first-page":"10561","DOI":"10.1007\/s00500-019-04563-6","volume":"24","author":"X Kang","year":"2020","unstructured":"Kang X, Chen Y, Zhao F, Lin G (2020) Multi-dimensional particle swarm optimization for robust blind image watermarking using intertwining logistic map and hybrid domain. Soft Comput 24(14):10561\u201310584","journal-title":"Soft Comput"},{"issue":"1","key":"8295_CR29","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1007\/s00530-020-00716-y","volume":"27","author":"T Rahkar Farshi","year":"2021","unstructured":"Rahkar Farshi T, Ardabili KA (2021) A hybrid firefly and particle swarm optimization algorithm applied to multilevel image thresholding. Multimed Syst 27(1):125\u2013142","journal-title":"Multimed Syst"},{"key":"8295_CR30","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.compstruc.2013.09.002","volume":"130","author":"A Kaveh","year":"2014","unstructured":"Kaveh A, Zolghadr A (2014) Democratic PSO for truss layout and size optimization with frequency constraints. Comput Struct 130:10\u201321","journal-title":"Comput Struct"},{"issue":"1","key":"8295_CR31","doi-asserted-by":"crossref","first-page":"011703","DOI":"10.1115\/1.4047437","volume":"143","author":"Y Chen","year":"2021","unstructured":"Chen Y, Yan J, Feng J, Sareh P (2021) Particle swarm optimization-based metaheuristic design generation of non-trivial flat-foldable origami tessellations with degree-4 vertices. J Mech Design 143(1):011703","journal-title":"J Mech Design"},{"issue":"3","key":"8295_CR32","doi-asserted-by":"publisher","first-page":"04020003","DOI":"10.1061\/(ASCE)CP.1943-5487.0000882","volume":"34","author":"Y Chen","year":"2020","unstructured":"Chen Y, Yan J, Sareh P, Feng J (2020) Feasible prestress modes for cable-strut structures with multiple self-stress states using particle swarm optimization. J Comput Civ Eng 34(3):04020003. https:\/\/doi.org\/10.1061\/(ASCE)CP.1943-5487.0000882","journal-title":"J Comput Civ Eng"},{"key":"8295_CR33","doi-asserted-by":"crossref","first-page":"113370","DOI":"10.1016\/j.eswa.2020.113370","volume":"152","author":"Z Xin-gang","year":"2020","unstructured":"Xin-gang Z, Ji L, Jin M, Ying Z (2020) An improved quantum particle swarm optimization algorithm for environmental economic dispatch. Expert Syst Appl 152:113370","journal-title":"Expert Syst Appl"},{"key":"8295_CR34","doi-asserted-by":"crossref","first-page":"710","DOI":"10.1016\/j.energy.2018.07.167","volume":"161","author":"M Mohammadian","year":"2018","unstructured":"Mohammadian M, Lorestani A, Ardehali M (2018) Optimization of single and multi-areas economic dispatch problems based on evolutionary particle swarm optimization algorithm. Energy 161:710\u2013724","journal-title":"Energy"},{"issue":"3","key":"8295_CR35","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1109\/TII.2017.2695122","volume":"13","author":"WT Elsayed","year":"2017","unstructured":"Elsayed WT, Hegazy YG, El-bages MS, Bendary FM (2017) Improved random drift particle swarm optimization with self-adaptive mechanism for solving the power economic dispatch problem. IEEE Trans Industr Inf 13(3):1017\u20131026","journal-title":"IEEE Trans Industr Inf"},{"issue":"1","key":"8295_CR36","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-022-14733-6","volume":"12","author":"S Chtita","year":"2022","unstructured":"Chtita S, Motahhir S, El Hammoumi A, Chouder A, Benyoucef AS, El Ghzizal A, Derouich A, Abouhawwash M, Askar S (2022) A novel hybrid GWO-PSO-based maximum power point tracking for photovoltaic systems operating under partial shading conditions. Sci Rep 12(1):1\u201315","journal-title":"Sci Rep"},{"key":"8295_CR37","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2022.124848","volume":"258","author":"Z Xing","year":"2022","unstructured":"Xing Z, Zhu J, Zhang Z, Qin Y, Jia L (2022) Energy consumption optimization of tramway operation based on improved pso algorithm. Energy 258:124848","journal-title":"Energy"},{"key":"8295_CR38","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.asoc.2012.12.034","volume":"14","author":"RM Calazan","year":"2014","unstructured":"Calazan RM, Nedjah N, Mourelle LM (2014) A hardware accelerator for particle swarm optimization. Appl Soft Comput 14:347\u2013356","journal-title":"Appl Soft Comput"},{"key":"8295_CR39","doi-asserted-by":"crossref","DOI":"10.1016\/j.micpro.2019.102949","volume":"72","author":"I Damaj","year":"2020","unstructured":"Damaj I, Elshafei M, El-Abd M, Aydin ME (2020) An analytical framework for high-speed hardware particle swarm optimization. Microprocess Microsyst 72:102949","journal-title":"Microprocess Microsyst"},{"key":"8295_CR40","unstructured":"Palangpour P (2010) FPGA implementation of PSO algorithm and neural networks"},{"key":"8295_CR41","doi-asserted-by":"crossref","unstructured":"Farmahini-Farahani A, Fakhraie SM, Safari S (2007) SOPC-based architecture for discrete particle swarm optimization. In: 2007 14th IEEE international conference on electronics, circuits and systems, pp 1003\u20131006. IEEE","DOI":"10.1109\/ICECS.2007.4511162"},{"issue":"2","key":"8295_CR42","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.engappai.2009.12.001","volume":"23","author":"A Farmahini-Farahani","year":"2010","unstructured":"Farmahini-Farahani A, Vakili S, Fakhraie SM, Safari S, Lucas C (2010) Parallel scalable hardware implementation of asynchronous discrete particle swarm optimization. Eng Appl Artif Intell 23(2):177\u2013187","journal-title":"Eng Appl Artif Intell"},{"issue":"20","key":"8295_CR43","doi-asserted-by":"crossref","first-page":"4582","DOI":"10.1016\/j.ins.2010.07.017","volume":"181","author":"S-A Li","year":"2011","unstructured":"Li S-A, Hsu C-C, Wong C-C, Yu C-J (2011) Hardware\/software co-design for particle swarm optimization algorithm. Inf Sci 181(20):4582\u20134596","journal-title":"Inf Sci"},{"issue":"8","key":"8295_CR44","first-page":"57","volume":"7","author":"MS Ben Ameur","year":"2016","unstructured":"Ben Ameur MS, Sakly A (2016) FPGA implementation of parallel particle swarm optimization algorithm and compared with genetic algorithm. Int J Adv Comput Sci Appl 7(8):57\u201364","journal-title":"Int J Adv Comput Sci Appl"},{"key":"8295_CR45","series-title":"Embedded system design: topics. Techniques and trends","first-page":"207","volume-title":"Constrained and unconstrained hardware-software partitioning using particle swarm optimization technique","author":"MB Abdelhalim","year":"2007","unstructured":"Abdelhalim MB, Salama A, Habib S-D (2007) Constrained and unconstrained hardware-software partitioning using particle swarm optimization technique. Embedded system design: topics. Techniques and trends. Springer, Boston, MA, pp 207\u2013220"},{"key":"8295_CR46","doi-asserted-by":"crossref","first-page":"103005","DOI":"10.1016\/j.micpro.2020.103005","volume":"74","author":"A Hassanein","year":"2020","unstructured":"Hassanein A, El-Abd M, Damaj I, Rehman HU (2020) Parallel hardware implementation of the brain storm optimization algorithm using FPGAs. Microprocess Microsyst 74:103005","journal-title":"Microprocess Microsyst"},{"issue":"3","key":"8295_CR47","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.asoc.2004.03.008","volume":"4","author":"B Scheuermann","year":"2004","unstructured":"Scheuermann B, So K, Guntsch M, Middendorf M, Diessel O, ElGindy H, Schmeck H (2004) FPGA implementation of population-based ant colony optimization. Appl Soft Comput 4(3):303\u2013322","journal-title":"Appl Soft Comput"},{"key":"8295_CR48","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1016\/j.asoc.2017.04.015","volume":"58","author":"MSB Ameur","year":"2017","unstructured":"Ameur MSB, Sakly A (2017) FPGA based hardware implementation of bat algorithm. Appl Soft Comput 58:378\u2013387","journal-title":"Appl Soft Comput"},{"key":"8295_CR49","unstructured":"Wang W (2012) Research on particle swarm optimization algorithm and its application. Southwest Jiaotong University, Doctor Degree Dissertation, pp 36\u201337"},{"issue":"4","key":"8295_CR50","doi-asserted-by":"crossref","first-page":"1715","DOI":"10.1016\/j.chaos.2007.09.063","volume":"40","author":"B Alatas","year":"2009","unstructured":"Alatas B, Akin E, Ozer AB (2009) Chaos embedded particle swarm optimization algorithms. Chaos, Solitons Fractals 40(4):1715\u20131734","journal-title":"Chaos, Solitons Fractals"},{"issue":"3","key":"8295_CR51","doi-asserted-by":"crossref","first-page":"783","DOI":"10.1007\/s00500-016-2383-8","volume":"22","author":"X Xu","year":"2018","unstructured":"Xu X, Rong H, Trovati M, Liptrott M, Bessis N (2018) CS-PSO: chaotic particle swarm optimization algorithm for solving combinatorial optimization problems. Soft Comput 22(3):783\u2013795","journal-title":"Soft Comput"},{"key":"8295_CR52","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1007\/978-94-007-7183-3_5","volume-title":"Mathematical methods in engineering","author":"EJS Pires","year":"2014","unstructured":"Pires EJS, Machado JAT, Oliveira PBdM (2014) Fractional particle swarm optimization. In: Fonseca Ferreira NM, Tenreiro Machado JA (eds) Mathematical methods in engineering. Springer, Dordrecht, pp 47\u201356"},{"issue":"1","key":"8295_CR53","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1007\/s11071-009-9649-y","volume":"61","author":"E Solteiro Pires","year":"2010","unstructured":"Solteiro Pires E, Tenreiro Machado J, de Moura Oliveira P, Boaventura Cunha J, Mendes L (2010) Particle swarm optimization with fractional-order velocity. Nonlinear Dyn 61(1):295\u2013301","journal-title":"Nonlinear Dyn"},{"key":"8295_CR54","doi-asserted-by":"crossref","unstructured":"Gao Z, Wei J, Liang C, Yan M (2014) Fractional-order particle swarm optimization. In: The 26th Chinese Control and Decision Conference (2014 CCDC), pp 1284\u20131288. IEEE","DOI":"10.1109\/CCDC.2014.6852364"},{"key":"8295_CR55","doi-asserted-by":"crossref","first-page":"131625","DOI":"10.1109\/ACCESS.2021.3111121","volume":"9","author":"RA Ibrahim","year":"2021","unstructured":"Ibrahim RA, Yousri D, Abd Elaziz M, Alshathri S, Attiya I (2021) Fractional calculus-based slime mould algorithm for feature selection using rough set. IEEE Access 9:131625\u2013131636","journal-title":"IEEE Access"},{"key":"8295_CR56","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.neucom.2021.10.122","volume":"489","author":"S Arora","year":"2022","unstructured":"Arora S, Mathur T, Agarwal S, Tiwari K, Gupta P (2022) Applications of fractional calculus in computer vision: a survey. Neurocomputing 489:407\u2013428","journal-title":"Neurocomputing"},{"issue":"2","key":"8295_CR57","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1007\/s10489-013-0458-0","volume":"40","author":"E Cuevas","year":"2014","unstructured":"Cuevas E, Echavarr\u00eda A, Ram\u00edrez-Orteg\u00f3n MA (2014) An optimization algorithm inspired by the states of matter that improves the balance between exploration and exploitation. Appl Intell 40(2):256\u2013272","journal-title":"Appl Intell"},{"key":"8295_CR58","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.117058","volume":"201","author":"K Meidani","year":"2022","unstructured":"Meidani K, Mirjalili S, Farimani AB (2022) Online metaheuristic algorithm selection. Expert Syst Appl 201:117058","journal-title":"Expert Syst Appl"},{"key":"8295_CR59","doi-asserted-by":"crossref","first-page":"109452","DOI":"10.1016\/j.asoc.2022.109452","volume":"128","author":"K Meidani","year":"2022","unstructured":"Meidani K, Mirjalili S, Farimani AB (2022) MAB-OS: multi-armed bandits metaheuristic optimizer selection. Appl Soft Comput 128:109452","journal-title":"Appl Soft Comput"},{"issue":"3","key":"8295_CR60","doi-asserted-by":"crossref","first-page":"2039","DOI":"10.1007\/s00500-020-05273-0","volume":"25","author":"MW Ouertani","year":"2021","unstructured":"Ouertani MW, Manita G, Korbaa O (2021) Chaotic lightning search algorithm. Soft Comput 25(3):2039\u20132055","journal-title":"Soft Comput"},{"issue":"3","key":"8295_CR61","doi-asserted-by":"crossref","first-page":"1777","DOI":"10.1007\/s12065-021-00590-1","volume":"15","author":"FS Gharehchopogh","year":"2022","unstructured":"Gharehchopogh FS, Maleki I, Dizaji ZA (2022) Chaotic vortex search algorithm: metaheuristic algorithm for feature selection. Evol Intel 15(3):1777\u20131808","journal-title":"Evol Intel"},{"key":"8295_CR62","doi-asserted-by":"crossref","first-page":"9271","DOI":"10.1109\/ACCESS.2022.3143802","volume":"10","author":"DS Abd Elminaam","year":"2022","unstructured":"Abd Elminaam DS, Ibrahim SA, Houssein EH, Elsayed SM (2022) An efficient chaotic gradient-based optimizer for feature selection. IEEE Access 10:9271\u20139286","journal-title":"IEEE Access"},{"key":"8295_CR63","first-page":"1","volume-title":"The fractional calculus theory and applications of differentiation and integration to arbitrary order","author":"K Oldham","year":"1974","unstructured":"Oldham K, Spanier J (1974) The fractional calculus theory and applications of differentiation and integration to arbitrary order. Elsevier, New York, pp 1\u2013234"},{"key":"8295_CR64","volume-title":"Fractional differential equations, mathematics in science and engineering","author":"I Podlubny","year":"1999","unstructured":"Podlubny I (1999) Fractional differential equations, mathematics in science and engineering. Academic press, New York"},{"key":"8295_CR65","volume-title":"Comput Intell PC Tools","author":"R Eberhart","year":"1996","unstructured":"Eberhart R, Simpson P, Dobbins R (1996) Comput Intell PC Tools. Academic Press Professional Inc, Boston Mass"},{"key":"8295_CR66","unstructured":"Shi Y, Eberhart R (1998) A modified particle swarm optimizer. In: 1998 IEEE International conference on evolutionary computation proceedings. IEEE world congress on computational intelligence (Cat. No. 98TH8360), pp 69\u201373. IEEE"},{"issue":"3","key":"8295_CR67","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1109\/TEVC.2004.826069","volume":"8","author":"F Van den Bergh","year":"2004","unstructured":"Van den Bergh F, Engelbrecht AP (2004) A cooperative approach to particle swarm optimization. IEEE Trans Evol Comput 8(3):225\u2013239","journal-title":"IEEE Trans Evol Comput"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-023-08295-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-023-08295-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-023-08295-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,13]],"date-time":"2024-10-13T08:48:29Z","timestamp":1728809309000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-023-08295-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,30]]},"references-count":67,"alternative-id":["8295"],"URL":"https:\/\/doi.org\/10.1007\/s00521-023-08295-5","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,30]]},"assertion":[{"value":"6 June 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 January 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 January 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}