Application of state-of-the-art multiobjective metaheuristic algorithms in reliability-based design optimization: a comparative study

Zeng Meng, Betül Sultan Yıldız, Gang Li, Changting Zhong, Seyedali Mirjalili, Ali Riza Yildiz

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

Abstract

Multiobjective reliability-based design optimization (RBDO) is a research area, which has not been investigated in the literatures comparing with single-objective RBDO. This work conducts an exhaustive study of fifteen new and popular metaheuristic multiobjective RBDO algorithms, including non-dominated sorting genetic algorithm II, differential evolution for multiobjective optimization, multiobjective evolutionary algorithm based on decomposition, multiobjective particle swarm optimization, multiobjective flower pollination algorithm, multiobjective bat algorithm, multiobjective gray wolf optimizer, multiobjective multiverse optimization, multiobjective water cycle optimizer, success history-based adaptive multiobjective differential evolution, success history-based adaptive multiobjective differential evolution with whale optimization, multiobjective salp swarm algorithm, real-code population-based incremental learning and differential evolution, unrestricted population size evolutionary multiobjective optimization algorithm, and multiobjective jellyfish search optimizer. In addition, the adaptive chaos control method is employed for the above-mentioned algorithms to estimate the probabilistic constraints effectively. This comparative analysis reveals the critical technologies and enormous challenges in the RBDO field. It also offers new insight into simultaneously dealing with the multiple conflicting design objectives and probabilistic constraints. Also, this study presents the advantage and future development trends or incurs the increased challenge of researchers to put forward an effective multiobjective RBDO algorithm that assists the complex engineering system design.

Original languageEnglish
Article number191
JournalStructural and Multidisciplinary Optimization
Volume66
Issue number8
DOIs
Publication statusPublished - Aug 2023

Keywords

  • Evolutionary algorithm
  • Metaheuristic algorithm
  • Multiobjective
  • Probabilistic constraint
  • Reliability-based design optimization

Fingerprint

Dive into the research topics of 'Application of state-of-the-art multiobjective metaheuristic algorithms in reliability-based design optimization: a comparative study'. Together they form a unique fingerprint.

Cite this