Usman, MuhammadPang, WeiCoghill, George2020-08-172020-08-172020-09Usman, M, Pang, W & Coghill, G 2020, 'Inferring structure and parameters of dynamic system models simultaneously using swarm intelligence approaches', Memetic Computing, vol. 12, pp. 267-282. https://doi.org/10.1007/s12293-020-00306-51865-9292ORCID: /0000-0002-2047-8277/work/78366372ORCID: /0000-0002-1761-6659/work/79064090https://hdl.handle.net/2164/14939Open Access via the Springer Compact Agreement This research is funded by Elphinstone Scholarship provided by University of Aberdeen, Scotland, UK.162276217engSDG 3 - Good Health and Well-beingLearning structure and parametersSwarm IntelligenceParticle swarm optimizationLatin hypercube samplingGenetic algorithmLatin hypercube sampling multidimensional uniformityDynamic systemsDIFFERENTIAL-EQUATION MODELSGENERAL-APPROACHINFERENCEQA75 Electronic computers. Computer scienceControl and OptimizationGeneral Computer ScienceQA75Inferring structure and parameters of dynamic system models simultaneously using swarm intelligence approachesJournal article10.1007/s12293-020-00306-5http://www.scopus.com/inward/record.url?scp=85088831874&partnerID=8YFLogxK12