A hybrid algorithm coupling genetic programming and Nelder–Mead for topology and size optimization of trusses with static and dynamic constraints

作者：

Highlights：

• Genetic programming used for truss optimization with static and dynamic constraints.

• Nelder–Mead used to improve the convergence of the proposed algorithm.

• The proposed algorithm performed on discrete sizing optimization of trusses.

• The proposed approach outperformed other reported methods in most of the cases.

摘要

•Genetic programming used for truss optimization with static and dynamic constraints.•Nelder–Mead used to improve the convergence of the proposed algorithm.•The proposed algorithm performed on discrete sizing optimization of trusses.•The proposed approach outperformed other reported methods in most of the cases.

论文关键词：Topology optimization,Genetic programming,Nelder–Mead,Static and dynamic constraints,Truss

论文评审过程：Received 25 September 2017, Revised 14 November 2017, Accepted 15 November 2017, Available online 15 November 2017, Version of Record 14 December 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.11.035