OPTIMISATION OF PULSE FORMING NETWORKS
This study presents reliable optimization techniques for Pulse Forming Networks (PFN). Pulse Forming Networks (PFN) are used to generate train of high peak power short duration pulses. They only store the energy necessary for a single pulse and discharge it into the load in the correct pulse form. The required energy is stored in combinations of capacitors and inductors as the circuit elements. The shape generated by PFN is not ideal and PFNs can be designed with better Pulse Performance by doing modifications and using techniques which can improve the desired output pulse shape and overall energy efficiency of the network.
In this study, two different techniques, Green’s Function to calculate the input voltage for the desired ideal pulse and Particle Swarm Optimization (PSO) for optimizing the inductor values have been used for optimization of PFN and its performance has been simulated using MATLAB/Simulink.
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 A constriction factor based particle swarm optimization for economic disptach,Shi Yao Lim, Mohammad Montakhab, and Hassan Nouri Bristol
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 Parameter extraction of solar cells using particle swarm optimization,Meiying Ye,1,a Xiaodong Wang,2 and Yousheng Xu1,1 Department of Physics, Zhejiang Normal University, Jinhua 321004, People’s Republic of China , Department of Electronic Engineering, Zhejiang Normal University, Jinhua 321004, People’s Republic of China.  Improvement of the PFN control system for the klystron pulse modulator at LEBRA Nuclear Instruments and Methods in Physics Research Section A
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