Multiobjective adaptive symbiotic organisms search for truss optimization problems

作者：

Highlights：

• A multiobjective adaptive symbiotic organisms search (MOASOS) is proposed.

• A two-archive approach is also applied in MOASOS to maintain population diversity.

• Five benchmark planar/space trusses are employed as case studies.

• The proposed algorithms are compared with similar studies published in the literature.

• The results show the merits of the proposed algorithms.

摘要

•A multiobjective adaptive symbiotic organisms search (MOASOS) is proposed.•A two-archive approach is also applied in MOASOS to maintain population diversity.•Five benchmark planar/space trusses are employed as case studies.•The proposed algorithms are compared with similar studies published in the literature.•The results show the merits of the proposed algorithms.

论文关键词：Meta-heuristic,Structural optimization,Archive technique,Discrete design,Constraint problem

论文评审过程：Received 11 February 2018, Revised 5 June 2018, Accepted 5 August 2018, Available online 11 August 2018, Version of Record 31 October 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.08.005