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A review of recent advances in quantum-inspired metaheuristics
Quantum-inspired metaheuristics emerged by combining the quantum mechanics principles
with the metaheuristic algorithms concepts. These algorithms extend the diversity of the …
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
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 …
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 …
Composite/nanocomposite structures have been commonly utilized in a variety of
applications. The ability to tailor composite materials to attain superior performance in …
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
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 …
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
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 …
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
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 …
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 …
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 …
optimization. However, the conventional nested optimization strategy is time-consuming …
An elitist multi-objective particle swarm optimization algorithm for composite structures design
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 …
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
The quantum-inspired genetic algorithm (QGA), which combines quantum mechanics
concepts and GA to enhance search capability, has been popular and provides an efficient …
concepts and GA to enhance search capability, has been popular and provides an efficient …