Efficient decoupling-assisted evolutionary/metaheuristic framework for expensive reliability-based design optimization problems

作者：

Highlights：

• A generalized decoupling metaheuristic RBDO framework is proposed.

• A particle’s memory saving strategy is developed to provide effective guidance.

• A new adaptive fractional-order equilibrium optimizer algorithm is developed.

• Numerical and engineering examples illustrate the superiority of the proposed algorithm.

摘要

•A generalized decoupling metaheuristic RBDO framework is proposed.•A particle’s memory saving strategy is developed to provide effective guidance.•A new adaptive fractional-order equilibrium optimizer algorithm is developed.•Numerical and engineering examples illustrate the superiority of the proposed algorithm.

论文关键词：Reliability-based design optimization,Fractional-order equilibrium optimizer algorithm,Metaheuristic,Particle’s memory saving strategy,Evolutionary algorithm,Optimization,Algorithm

论文评审过程：Received 30 September 2021, Revised 24 March 2022, Accepted 27 May 2022, Available online 30 May 2022, Version of Record 9 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117640