An enhanced finite step length method for structural reliability analysis and reliability-based design optimization

D Zhang, J Zhang, M Yang, R Wang, Z Wu - Structural and …, 2022 - Springer
The finite step length (FSL) method is extensively used for structural reliability analysis due
to its robustness and efficiency compared with traditional Hasofer–Lind and Rackwitz …

Chaos control assisted single-loop multi-objective reliability-based design optimization using differential evolution

R Biswas, D Sharma - Swarm and Evolutionary Computation, 2023 - Elsevier
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 …

A single-loop reliability-based design optimization using adaptive differential evolution

R Biswas, D Sharma - Applied Soft Computing, 2023 - Elsevier
Reliability-based design optimization (RBDO) is an efficient tool for generating reliable and
optimal solution under uncertainty of design variables. The major challenges in solving …

An improved adaptive Kriging method for the possibility-based design optimization and its application to aeroengine turbine disk

X Huang, P Wang, Q Wang, L Zhang, W Yang… - Aerospace Science and …, 2024 - Elsevier
Possibility-based design optimization (PBDO) can provide theoretical basis for the structural
optimal design of fuzzy uncertainty model in engineering, so as to obtain the optimal design …

Single-Loop Multi-Objective Reliability-Based Design Optimization Using Chaos Control Theory and Shifting Vector with Differential Evolution

R Biswas, D Sharma - Mathematical and Computational Applications, 2023 - mdpi.com
Multi-objective reliability-based design optimization (MORBDO) is an efficient tool for
generating reliable Pareto-optimal (PO) solutions. However, generating such PO solutions …

[PDF][PDF] Single-loop reliability-based design optimization methods for single and multi-objective optimization

R Biswas - 2022 - iitg.ac.in
Real-world optimization problems often involve uncertainties that can be seen in material
properties, geometry, operational environment, manufacturing process, etc. Solving such …