A review of recent advances in quantum-inspired metaheuristics

S Hakemi, M Houshmand, E KheirKhah… - Evolutionary …, 2024 - Springer
Quantum-inspired metaheuristics emerged by combining the quantum mechanics principles
with the metaheuristic algorithms concepts. These algorithms extend the diversity of the …

Machine learning regression approaches for predicting the ultimate buckling load of variable-stiffness composite cylinders

A Kaveh, A Dadras Eslamlou, SM Javadi… - Acta Mechanica, 2021 - Springer
Due to the high computational cost of finite element analyses, particularly in optimization
tasks, establishing a high-fidelity surrogate model is of immense importance to engineers …

Machine learning and optimization algorithms for vibration, bending and buckling analyses of composite/nanocomposite structures: a systematic and comprehensive …

DB Ercument, B Safaei, S Sahmani… - Archives of Computational …, 2024 - Springer
Composite/nanocomposite structures have been commonly utilized in a variety of
applications. The ability to tailor composite materials to attain superior performance in …

Multi-objective structural optimization for the automatic member grou** of truss structures using evolutionary algorithms

JPG Carvalho, DEC Vargas, BP Jacob, BSLP Lima… - Computers & …, 2024 - Elsevier
This paper aims to formulate the multi-objective structural optimization problem to find the
best member grou** of truss structures. The weight of the structure and the different …

Optimum material distribution of porous functionally graded plates using Carrera unified formulation based on isogeometric analysis

F Rahmani, R Kamgar, R Rahgozar - Mechanics of Advanced …, 2022 - Taylor & Francis
The current literature deals with the multi-objective optimal material distribution of porous
functionally graded plates subjected to free vibration in the framework of Carrera Unified …

An efficient algorithm for multi-objective structural optimization problems using an improved pbest-based differential evolution algorithm

TS Cao, HA Pham, VH Truong - Advances in Engineering Software, 2024 - Elsevier
Multi-objective optimization (MOO) for structural design is addressed. A new MOO algorithm,
named MOEA/D-EpDE, which combines the advantages of a recently developed pbest …

Free vibration analysis of laminated closed conical, cylindrical shells and annular plates with a hole using a meshfree method

S Kwak, K Kim, J Yun, S Kim, P Ri - Structures, 2021 - Elsevier
In this paper, a novel meshfree approach is proposed for the free vibration analysis of
laminated closed conical, cylindrical shells and annular plate with a hole. The theoretical …

An efficient nonlinear interval uncertain optimization method using Legendre polynomial chaos expansion

L Wang, G Yang, Z Li, F Xu - Applied Soft Computing, 2021 - Elsevier
Many specialized numerical techniques have been developed on interval uncertainty
optimization. However, the conventional nested optimization strategy is time-consuming …

An elitist multi-objective particle swarm optimization algorithm for composite structures design

R Fitas, G das Neves Carneiro, CC António - Composite Structures, 2022 - Elsevier
Optimization is an important area of research in Engineering, usually due to the potentiality
of saving costs and improving structural safety. Composite structures are typically complex …

[HTML][HTML] A modified quantum-inspired genetic algorithm using lengthening chromosome size and an adaptive look-up table to avoid local optima

S Hakemi, M Houshmand, SA Hosseini, X Zhou - Axioms, 2023 - mdpi.com
The quantum-inspired genetic algorithm (QGA), which combines quantum mechanics
concepts and GA to enhance search capability, has been popular and provides an efficient …