Invasive Weed Optimization Based Reduced Order Modelling

2022 ◽  
pp. 287-298
Author(s):  
Rajul Goyal ◽  
Girish Parmar ◽  
Afzal Sikander
Keyword(s):  
Invasive Weed Optimization ◽  
Invasive Weed ◽  
Reduced Order ◽  
Reduced Order Modelling

scholarly journals Model reduction methods based on Krylov subspaces

Acta Numerica ◽  
2003 ◽  
Vol 12 ◽  
pp. 267-319 ◽  
Author(s):  
Roland W. Freund
Keyword(s):  
Large Scale ◽  
Krylov Subspace ◽  
Circuit Simulation ◽  
Krylov Subspaces ◽  
Lanczos Algorithm ◽  
Linear Dynamical Systems ◽  
Reduced Order ◽  
Reduced Order Modelling ◽  
Reduction Methods ◽  
Modelling Techniques

In recent years, reduced-order modelling techniques based on Krylov-subspace iterations, especially the Lanczos algorithm and the Arnoldi process, have become popular tools for tackling the large-scale time-invariant linear dynamical systems that arise in the simulation of electronic circuits. This paper reviews the main ideas of reduced-order modelling techniques based on Krylov subspaces and describes some applications of reduced-order modelling in circuit simulation.

Application of chaos-based chaotic invasive weed optimization techniques for environmental OPF problems in the power system

2014 ◽  
Vol 69 ◽  
pp. 271-284 ◽  
Author(s):  
Mojtaba Ghasemi ◽  
Sahand Ghavidel ◽  
Jamshid Aghaei ◽  
Mohsen Gitizadeh ◽  
Hasan Falah
Keyword(s):  
Power System ◽  
Optimization Techniques ◽  
Invasive Weed Optimization ◽  
Invasive Weed
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