Application of metaheuristic algorithms to the identification of nonlinear magneto-viscoelastic constitutive parameters
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Summary
It is determined that the continuous real and discrete bitstring genetic algorithm provide the best overall performance in terms of the accuracy of the predicted parameters, while globally-elitist simulated annealing provides the best compromise between accuracy and computational efficiency.
- Type
- article
- Published
- 2018-10-01
- Cited by
- 21
- References
- 103
- Access
- Open access
- OpenAlex
- https://openalex.org/W2789696313
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:126201243
Keywords
Algorithm, Nonlinear system, Computer science, Simulated annealing, Parametric statistics
References
- Nonlinear Solid Mechanics: A Continuum Approach for Engineering Science
- Observability and identifiability of nonlinear systems with applications in biology
- Mechanics and Electrodynamics of Magneto- and Electro-elastic Materials
- Numerical modeling and neural networks to identify constitutive parameters from in situ tests
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- Computational model of soft tissues in the human upper airway
- Comparing inertia weights and constriction factors in particle swarm optimization
- Magnetic charged system search: a new meta-heuristic algorithm for optimization
- Multi-objective optimization using genetic algorithms: A tutorial
- Neural network constitutive model for rate-dependent materials
- Magnetoelastic buckling of a rectangular block in plane strain
- Cam shape optimisation by genetic algorithm
- The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance
- Review and Comparison of Hysteresis Models for Magnetostrictive Materials
- Estimation of constitutive parameters for powder pressing by inverse modelling
- Comparing backpropagation with a genetic algorithm for neural network training
- Genetic Programming for Multiscale Modeling
- Modelling the mechanical aspects of the curing process of magneto-sensitive elastomeric materials
- Practical Genetic Algorithms
- Parallel Recombinative Simulated Annealing: A Genetic Algorithm
Cited by
- Visco-Hyperelastic Model with Damage for Simulating Cyclic Thermoplastic Elastomers Behavior Applied to an Industrial Component
- A new evaluation function for face image enhancement in unconstrained environments using metaheuristic algorithms
- Application of improved genetic algorithm in ultrasonic location of transformer partial discharge
- A modelling framework for finite strain magnetoviscoelasticity
- A Supervised Artificial Neural Network-Assisted Modeling of Magnetorheological Elastomers in Tension–Compression Mode
- Extension-Torsion-Inflation Coupling in Compressible Magnetoelastomeric Thin Tubes with Helical Magnetic Anisotropy
- A review on magneto-mechanical characterizations of magnetorheological elastomers
- A microstructural-based approach to model magneto-viscoelastic materials at finite strains
- A constitutive macroscale model for compressible magneto-active polymers based on computational homogenization data: Part I — Magnetic linear regime
- Fractional Viscoelastic Models for Asphalt Concrete: From Parameter Identification to Pavement Mechanics Analysis
- Spectral Richness PSO algorithm for parameter identification of dynamical systems under non-ideal excitation conditions
- Research Progress of Nature-Inspired Metaheuristic Algorithms in Mobile Robot Path Planning
- Advances in Modeling and Control of Magnetorheological Elastomers for Engineering Applications
- Efficient constitutive parameter identification through optimisation-based techniques: A Comparative analysis and novel composite Bayesian optimisation strategy
- Automatic identification of macroscopic constitutive parameters for polycrystalline materials based on computational homogenisation
- Magnetostriction of soft-magnetorheological elastomers
- Parametric identification hybrid metaheuristic-based approach for steel fiber-reinforced concrete using finite element modeling: a comparative study
- Parameter identification of the variable-order fractional constitutive model based on support vector machine and improved manta ray foraging optimization method
- Introduction to Coupled Theories in Solid Mechanics
- A constitutive macroscale model for compressible magneto-active polymers based on computational homogenization data: Part II — Magnetic nonlinear regime
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