Configuration design of structures under dynamic constraints by a hybrid bat algorithm and teaching–learning based optimization

Optimal design of steel trusses is an interesting task due to existence of many alternatives for their spatial configuration. Meanwhile, performance criteria have enforced their vibration to maintain within certain limits. The present work concerns implementation of frequency constraints as a common...

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Vydané v:	International journal of dynamics and control Ročník 7; číslo 2; s. 419 - 429
Hlavní autori:	Shahrouzi, Mohsen, Rafiee-Alavijeh, Fataneh, Aghabaglou, Mahdi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2019 Springer Nature B.V
Predmet:	Algorithms Bridges Complexity Computer simulation Configuration management Configurations Control Control and Systems Theory Design optimization Dynamical Systems Engineering Machine learning Search engines Trusses Vibration Frequency constraint Geometry optimization Eigenvalue analysis Hybrid meta-heuristic
ISSN:	2195-268X, 2195-2698
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Abstract	Optimal design of steel trusses is an interesting task due to existence of many alternatives for their spatial configuration. Meanwhile, performance criteria have enforced their vibration to maintain within certain limits. The present work concerns implementation of frequency constraints as a common approach to implicitly satisfy such practical requirements. The problem objective is to minimize the cost of steel material by simultaneous size and geometry optimization of trusses. In this regard teaching – learning - based - optimization and bat - algorithm are hybridized via a new effective framework. The former acts as a global search engine, the latter provides search refinement to access higher quality solutions. Effectiveness and efficiency of the proposed hybrid method are evaluated using a number of bridge and space structures via comparison with literature works. Numerical simulations show enhanced effectiveness and less deviation about final optimum design as a result of implementing the proposed hybridization.
AbstractList	Optimal design of steel trusses is an interesting task due to existence of many alternatives for their spatial configuration. Meanwhile, performance criteria have enforced their vibration to maintain within certain limits. The present work concerns implementation of frequency constraints as a common approach to implicitly satisfy such practical requirements. The problem objective is to minimize the cost of steel material by simultaneous size and geometry optimization of trusses. In this regard teaching–learning-based-optimization and bat-algorithm are hybridized via a new effective framework. The former acts as a global search engine, the latter provides search refinement to access higher quality solutions. Effectiveness and efficiency of the proposed hybrid method are evaluated using a number of bridge and space structures via comparison with literature works. Numerical simulations show enhanced effectiveness and less deviation about final optimum design as a result of implementing the proposed hybridization. Optimal design of steel trusses is an interesting task due to existence of many alternatives for their spatial configuration. Meanwhile, performance criteria have enforced their vibration to maintain within certain limits. The present work concerns implementation of frequency constraints as a common approach to implicitly satisfy such practical requirements. The problem objective is to minimize the cost of steel material by simultaneous size and geometry optimization of trusses. In this regard teaching – learning - based - optimization and bat - algorithm are hybridized via a new effective framework. The former acts as a global search engine, the latter provides search refinement to access higher quality solutions. Effectiveness and efficiency of the proposed hybrid method are evaluated using a number of bridge and space structures via comparison with literature works. Numerical simulations show enhanced effectiveness and less deviation about final optimum design as a result of implementing the proposed hybridization.
Author	Rafiee-Alavijeh, Fataneh Shahrouzi, Mohsen Aghabaglou, Mahdi
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References	KavehAIlchi-GhazaanMHybridized optimization algorithms for design of trusses with multiple natural frequency constraintsAdv Eng Softw20157913714710.1016/j.advengsoft.2014.10.001 ShahrouziMYousefiAFixed-weight eigenvalue optimization of truss structures by swarm intelligent algorithmsInt J Optim Civil Eng201331131149 American Institute of Steel ConstructionManual of steel construction: allowable stress design1998ChicagoAISC KavehABakhshpooriTAfshariEAn efficient hybrid Particle Swarm and Swallow Swarm Optimization algorithmComput Struct2014143405910.1016/j.compstruc.2014.07.012 GeemZWRecent advances in harmony search algorithm2010Berlin, HeidelbergSpringer10.1007/978-3-642-04317-81204.68194 KavehAMahdaviVROptimal design of structures with multiple natural frequency constraints using a hybridized BB-BC/Quasi-Newton algorithmCivil Eng20135712738 RaoRVSavsaniVJVakhariaDPTeaching-learning-based optimization: a novel method for constrained mechanical design optimization problemsComput Aided Des201143330331510.1016/j.cad.2010.12.015 GeemZWKimJHLoganathanJVA new heuristic optimization algorithm: harmony searchSimulation2001762606810.1177/003754970107600201 GeemZWMusic-Inspired harmony search algorithm: theory and applications2009Berlin, HeidelbergSpringer10.1007/978-3-642-00185-7 KavehAZolghadrAShape and size optimization of truss structures with frequency constraints using enhanced charged system search algorithmAsian J Civil Eng2011124487509 KavehAIlchi-GhazaanMMeta-heuristic algorithms for optimal design of real-size structures2018ChamSpringer10.1007/978-3-319-78780-01387.90015 KavehAZolghadrATruss optimization with natural frequency constraints using a hybridized CSS-BBBC algorithm with trap recognition capabilityComput Struct2012102–103142710.1016/j.compstruc.2012.03.016 LingyunWMeiZGuangmingWGuangMTruss optimization on shape and sizing with frequency constraints based on genetic algorithmJ Comput Mech20052536136810.1007/s00466-004-0623-81109.74349 SedaghatiRSulemanATabarrokBStructural optimization with frequency constraints using finite element force methodAIAA J200240238238810.2514/2.1657 KavehAIlchi-GhazaanMLayout and size optimization of trusses with natural frequency constraints using improved ray optimization algorithmIran J Sci Technol Trans Civil Eng201539C2395408 HasançebiOÇarbasSDoganEErdalFSakaMPPerformance evaluation of meta-heuristic search techniques in the optimum design of real size pin jointed structuresComput Struct2009875–628430210.1016/j.compstruc.2009.01.002 AroraJSIntroduction to optimum design2004New YorkElsevier10.1016/B978-012064155-0/50012-4 ShahrouziMA new hybrid genetic and swarm optimization for earthquake accelerogram scalingInt J Optim Civil Eng201111127140 GomesMHTruss optimization with dynamic constraints using a particle swarm algorithmExpert Sys Appl20113895796810.1016/j.eswa.2010.07.086 GrandhiRVStructural optimization with frequency constraints—a reviewAIAA J199331122296230310.2514/3.119280836.73050 KavehAAdvances in metaheuristic algorithms for optimal design of structures20172ChamSpringer10.1007/978-3-319-46173-11359.90001 RaoRVTeaching learning based optimization algorithm and its engineering applications2016ChamSpringer10.1007/978-3-319-22732-01343.90111 MiguelLFFFadel-MiguelLFShape and size optimization of truss structures considering dynamic constraints through modern meta-heuristic algorithmsExpert Syst Appl2012399458946710.1016/j.eswa.2012.02.113 NakibRDeterministic and reliability-based optimization of truss bridgesComput Struct199765576777510.1016/S0045-7949(94)E0289-E0918.73045 YildizAROptimization of multi-pass turning operations using hybrid teaching learning-based approachInt J Adv Manuf Technol20136691319132610.1007/s00170-012-4410-y A Kaveh (455_CR12) 2014; 143 R Sedaghati (455_CR6) 2002; 40 RV Rao (455_CR14) 2011; 43 ZW Geem (455_CR15) 2001; 76 A Kaveh (455_CR19) 2011; 12 A Kaveh (455_CR24) 2018 AR Yildiz (455_CR13) 2013; 66 R Nakib (455_CR23) 1997; 65 RV Grandhi (455_CR4) 1993; 31 MH Gomes (455_CR8) 2011; 38 ZW Geem (455_CR17) 2010 W Lingyun (455_CR18) 2005; 25 JS Arora (455_CR2) 2004 M Shahrouzi (455_CR7) 2013; 3 A Kaveh (455_CR10) 2013; 57 A Kaveh (455_CR22) 2015; 39 RV Rao (455_CR16) 2016 A Kaveh (455_CR9) 2012; 102–103 LFF Miguel (455_CR20) 2012; 39 ZW Geem (455_CR3) 2009 A Kaveh (455_CR1) 2017 A Kaveh (455_CR21) 2015; 79 American Institute of Steel Construction (455_CR25) 1998 O Hasançebi (455_CR5) 2009; 87 M Shahrouzi (455_CR11) 2011; 1
References_xml	– reference: KavehAIlchi-GhazaanMMeta-heuristic algorithms for optimal design of real-size structures2018ChamSpringer10.1007/978-3-319-78780-01387.90015 – reference: KavehABakhshpooriTAfshariEAn efficient hybrid Particle Swarm and Swallow Swarm Optimization algorithmComput Struct2014143405910.1016/j.compstruc.2014.07.012 – reference: HasançebiOÇarbasSDoganEErdalFSakaMPPerformance evaluation of meta-heuristic search techniques in the optimum design of real size pin jointed structuresComput Struct2009875–628430210.1016/j.compstruc.2009.01.002 – reference: KavehAZolghadrATruss optimization with natural frequency constraints using a hybridized CSS-BBBC algorithm with trap recognition capabilityComput Struct2012102–103142710.1016/j.compstruc.2012.03.016 – reference: MiguelLFFFadel-MiguelLFShape and size optimization of truss structures considering dynamic constraints through modern meta-heuristic algorithmsExpert Syst Appl2012399458946710.1016/j.eswa.2012.02.113 – reference: American Institute of Steel ConstructionManual of steel construction: allowable stress design1998ChicagoAISC – reference: AroraJSIntroduction to optimum design2004New YorkElsevier10.1016/B978-012064155-0/50012-4 – reference: KavehAAdvances in metaheuristic algorithms for optimal design of structures20172ChamSpringer10.1007/978-3-319-46173-11359.90001 – reference: ShahrouziMA new hybrid genetic and swarm optimization for earthquake accelerogram scalingInt J Optim Civil Eng201111127140 – reference: RaoRVSavsaniVJVakhariaDPTeaching-learning-based optimization: a novel method for constrained mechanical design optimization problemsComput Aided Des201143330331510.1016/j.cad.2010.12.015 – reference: ShahrouziMYousefiAFixed-weight eigenvalue optimization of truss structures by swarm intelligent algorithmsInt J Optim Civil Eng201331131149 – reference: KavehAIlchi-GhazaanMHybridized optimization algorithms for design of trusses with multiple natural frequency constraintsAdv Eng Softw20157913714710.1016/j.advengsoft.2014.10.001 – reference: GeemZWMusic-Inspired harmony search algorithm: theory and applications2009Berlin, HeidelbergSpringer10.1007/978-3-642-00185-7 – reference: KavehAMahdaviVROptimal design of structures with multiple natural frequency constraints using a hybridized BB-BC/Quasi-Newton algorithmCivil Eng20135712738 – reference: GeemZWRecent advances in harmony search algorithm2010Berlin, HeidelbergSpringer10.1007/978-3-642-04317-81204.68194 – reference: NakibRDeterministic and reliability-based optimization of truss bridgesComput Struct199765576777510.1016/S0045-7949(94)E0289-E0918.73045 – reference: LingyunWMeiZGuangmingWGuangMTruss optimization on shape and sizing with frequency constraints based on genetic algorithmJ Comput Mech20052536136810.1007/s00466-004-0623-81109.74349 – reference: KavehAIlchi-GhazaanMLayout and size optimization of trusses with natural frequency constraints using improved ray optimization algorithmIran J Sci Technol Trans Civil Eng201539C2395408 – reference: GomesMHTruss optimization with dynamic constraints using a particle swarm algorithmExpert Sys Appl20113895796810.1016/j.eswa.2010.07.086 – reference: RaoRVTeaching learning based optimization algorithm and its engineering applications2016ChamSpringer10.1007/978-3-319-22732-01343.90111 – reference: KavehAZolghadrAShape and size optimization of truss structures with frequency constraints using enhanced charged system search algorithmAsian J Civil Eng2011124487509 – reference: SedaghatiRSulemanATabarrokBStructural optimization with frequency constraints using finite element force methodAIAA J200240238238810.2514/2.1657 – reference: GeemZWKimJHLoganathanJVA new heuristic optimization algorithm: harmony searchSimulation2001762606810.1177/003754970107600201 – reference: YildizAROptimization of multi-pass turning operations using hybrid teaching learning-based approachInt J Adv Manuf Technol20136691319132610.1007/s00170-012-4410-y – reference: 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10.2514/2.1657 – volume: 3 start-page: 131 issue: 1 year: 2013 ident: 455_CR7 publication-title: Int J Optim Civil Eng – volume-title: Meta-heuristic algorithms for optimal design of real-size structures year: 2018 ident: 455_CR24 doi: 10.1007/978-3-319-78780-0 – volume: 76 start-page: 60 issue: 2 year: 2001 ident: 455_CR15 publication-title: Simulation doi: 10.1177/003754970107600201 – volume: 1 start-page: 127 issue: 1 year: 2011 ident: 455_CR11 publication-title: Int J Optim Civil Eng – volume-title: Introduction to optimum design year: 2004 ident: 455_CR2 doi: 10.1016/B978-012064155-0/50012-4 – volume: 57 start-page: 27 issue: 1 year: 2013 ident: 455_CR10 publication-title: Civil Eng – volume: 25 start-page: 361 year: 2005 ident: 455_CR18 publication-title: J Comput Mech doi: 10.1007/s00466-004-0623-8 – volume: 102–103 start-page: 14 year: 2012 ident: 455_CR9 publication-title: Comput Struct doi: 10.1016/j.compstruc.2012.03.016 – volume: 39 start-page: 395 issue: C2 year: 2015 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SubjectTerms	Algorithms Bridges Complexity Computer simulation Configuration management Configurations Control Control and Systems Theory Design optimization Dynamical Systems Engineering Machine learning Search engines Trusses Vibration
Title	Configuration design of structures under dynamic constraints by a hybrid bat algorithm and teaching–learning based optimization
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