Multi-objective optimization of distributed-order fractional damping
DOI10.1016/j.cnsns.2014.12.011zbMath1440.90066OpenAlexW2033221530MaRDI QIDQ2297441
Yousef Naranjani, Yousef Sardahi, Jian-Qiao Sun, Yang Quan Chen
Publication date: 20 February 2020
Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cnsns.2014.12.011
multi-objective optimizationfractional calculusgenetic algorithmcell mapping methoddistributed-order damping
Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59) Design techniques (robust design, computer-aided design, etc.) (93B51) Fractional derivatives and integrals (26A33)
Related Items (5)
Cites Work
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- Application of numerical inverse Laplace transform algorithms in fractional calculus
- Fractional processes and fractional-order signal processing. Techniques and applications
- A discrete method of optimal control based upon the cell state space concept
- Cell-to-cell mapping. A method of global analysis for nonlinear systems
- General response of viscoelastic systems modelled by fractional operators
- Application of fractional derivatives to the analysis of damped vibrations of viscoelastic single mass systems
- Variable order and distributed order fractional operators
- Design of Optimum Systems of Viscoelastic Vibration Absorbers for a Given Material Based on the Fractional Calculus Model
- Distributed-Order Dynamic Systems
- Applications of Fractional Calculus to the Theory of Viscoelasticity
- A Theory of Cell-to-Cell Mapping Dynamical Systems
- Evolutionary Algorithms for Solving Multi-Objective Problems
- Generalized homotopy approach to multiobjective optimization.
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