Multiobjecitve structural optimization using improved heat transfer search

作者：

Highlights：

• The proposed MOHTS-BX is inspired by thermal equilibrium principle.

• A modified binomial crossover phase is added to the basic MOHTS algorithm.

• Five challenging Multi-objective structural design problems considered.

• Hypervolume and Spacing-to-Extant indicators are used for performance evaluation.

• Friedman’s rank test confirms MOHTS-BX efficiency, especially for large structures.

摘要

•The proposed MOHTS-BX is inspired by thermal equilibrium principle.•A modified binomial crossover phase is added to the basic MOHTS algorithm.•Five challenging Multi-objective structural design problems considered.•Hypervolume and Spacing-to-Extant indicators are used for performance evaluation.•Friedman’s rank test confirms MOHTS-BX efficiency, especially for large structures.

论文关键词：Structural optimization,Meta-heuristics,Multiobjective problem,Modified binomial crossover,Discrete design,Truss design

论文评审过程：Received 6 November 2020, Revised 22 December 2020, Accepted 24 January 2021, Available online 26 February 2021, Version of Record 3 March 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.106811