The size, nature, and diversity of the initial population of population-based metaheuristic
algorithms and the number of times the algorithm iterates play a significant role in the …

A situation where the set of initial solutions lies near the position of the true optimality (most
favourable or desirable solution) by chance can increase the probability of finding the true …

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 …

The ever-increasing demands for resource-saving, engineering technology progress, and
environmental protection stimulate the progress of the progressive design method. As an …

This review presents developments in structural shape optimization post 2000 from
perspective of numerical analysis techniques. Traditional shape optimization with FEM has …

The extended finite element method (XFEM) has been successfully implemented in solving
crack propagation problems by enriching the polynomial basis functions of standard finite …

This study attempted to propose a novel efficient and accurate uncertainty analysis method
for structural fatigue life prediction with hybrid uncertainties. First, PCE was adopted to deal …

Arithmetic optimization algorithm (AOA) is one of the recently proposed population-based
metaheuristic algorithms. The algorithmic design concept of the AOA is based on the …

In practical engineering, a multi-input-multi-output (MIMO) structure generally features a
significant number of correlated input parameters and output responses. Sensitivity analysis …

More attention has been attracted to engineering structural design on fatigue failure, while
few works are devoted to topology optimizations considering dynamic fatigue failure under …