Chaos control assisted single-loop multi-objective reliability-based design optimization using differential evolution
In this paper, a single-loop multi-objective formulation for reliability-based design
optimization is proposed in which the reliability analysis is approximated using Karush …
optimization is proposed in which the reliability analysis is approximated using Karush …
A Kriging-assisted global reliability-based design optimization algorithm with a reliability-constrained expected improvement
Surrogate models have been extensively used in reliability-based design optimization
(RBDO); however, few studies have focused on the global optimality of RBDO. This paper …
(RBDO); however, few studies have focused on the global optimality of RBDO. This paper …
Reliability-based design optimization: a state-of-the-art review of its methodologies, applications, and challenges
Reliability-based design optimization (RBDO) integrates various uncertainties into the
design optimization process, offering a more realistic and robust approach compared to …
design optimization process, offering a more realistic and robust approach compared to …
Developing a hybrid model for accurate short-term water demand prediction under extreme weather conditions: a case study in Melbourne, Australia
Accurate prediction of short-term water demand, especially, in the case of extreme weather
conditions such as flood, droughts and storms, is crucial information for the policy makers to …
conditions such as flood, droughts and storms, is crucial information for the policy makers to …
Hybrid adaptive moment estimation based performance measure approach for complex reliability-based design optimization
H Hu, P Wang, F Xin, L Zhang, W Yang, L Li - Reliability Engineering & …, 2024 - Elsevier
The complexity of engineering problems often poses challenges, especially in reliability-
based design optimization, where the nonlinearity of the performance function is not known …
based design optimization, where the nonlinearity of the performance function is not known …
A novel and efficient stochastic collocation method for estimating failure probability function in one-dimensional reduced space
Z Chen, Z Lu, K Feng, H Li, Y Yan - Computers & Structures, 2024 - Elsevier
Failure probability function (FPF) is an important index when measuring the effect of random
input distribution parameters on the safety of structures. It can decouple reliability-based …
input distribution parameters on the safety of structures. It can decouple reliability-based …
Single-Loop Multi-Objective Reliability-Based Design Optimization Using Chaos Control Theory and Shifting Vector with Differential Evolution
Multi-objective reliability-based design optimization (MORBDO) is an efficient tool for
generating reliable Pareto-optimal (PO) solutions. However, generating such PO solutions …
generating reliable Pareto-optimal (PO) solutions. However, generating such PO solutions …
MECSBO: Multi‐strategy enhanced circulatory system based optimisation algorithm for global optimisation and reliability‐based design optimisation problems
S Yang, C Guo, D Meng, Y Guo, Y Guo… - IET Collaborative …, 2024 - Wiley Online Library
Abstract The Circulatory System Based Optimisation (CSBO) stands as a nascent
metaheuristic optimisation algorithm known for its proficiency in tackling global optimisation …
metaheuristic optimisation algorithm known for its proficiency in tackling global optimisation …
Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization
R Zhong, Y Cao, E Zhang, M Munetomo - arXiv preprint arXiv:2406.05436, 2024 - arxiv.org
This paper introduces a novel competitive mechanism into differential evolution (DE),
presenting an effective DE variant named competitive DE (CDE). CDE features a simple yet …
presenting an effective DE variant named competitive DE (CDE). CDE features a simple yet …