Structural Engineering and Mechanics

  • 제54권3호
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  • Pages.453-474
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  • 2015
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Hybrid PSO and SSO algorithm for truss layout and size optimization considering dynamic constraints

  • Kaveh, A. (Centre of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science and Technology) ;
  • Bakhshpoori, T. (Centre of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science and Technology) ;
  • Afshari, E. (Centre of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science and Technology)
  • 투고 : 2014.05.03
  • 심사 : 2014.11.11
  • 발행 : 2015.05.10
⟨ 이전 논문 다음 논문 ⟩

초록

A hybrid approach of Particle Swarm Optimization (PSO) and Swallow Swarm Optimization algorithm (SSO) namely Hybrid Particle Swallow Swarm Optimization algorithm (HPSSO), is presented as a new variant of PSO algorithm for the highly nonlinear dynamic truss shape and size optimization with multiple natural frequency constraints. Experimentally validation of HPSSO on four benchmark trusses results in high performance in comparison to PSO variants and to those of different optimization techniques. The simulation results clearly show a good balance between global and local exploration abilities and consequently results in good optimum solution.

키워드

참고문헌

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