DocumentCode
3024672
Title
Damping the cavity-mode anti-resonances´ peaks on a power plane by swarm intelligence algorithms
Author
Tripathi, Jai Narayan ; Chhabra, Nitin Kumar ; Nagpal, Raj Kumar ; Malik, Rakesh ; Mukherjee, Jayanta
Author_Institution
Dept. of EE, IIT Bombay, Mumbai, India
fYear
2012
fDate
20-23 May 2012
Firstpage
361
Lastpage
364
Abstract
Swarm intelligence is applied to a module of high speed system design problem. To maintain power integrity in a high speed system, an effective methodology for suppressing the cavity-mode anti-resonances´ peaks is presented. The optimal values and the optimal positions of the decoupling capacitors are found using three different swarm intelligence methods - particle swarm optimization, cuckoo search method and firefly algorithm. Optimum values and locations of decoupling capacitors are obtained, by which anti-resonances´ peaks of loaded board are minimized.
Keywords
capacitors; integrated circuit modelling; particle swarm optimisation; power supply circuits; search problems; cavity mode antiresonance peaks; cuckoo search method; decoupling capacitors; firefly algorithm; high speed system design; particle swarm optimization; power integrity; power plane; swarm intelligence algorithms; Algorithm design and analysis; Capacitors; Cavity resonators; Impedance; Optimization; Particle swarm optimization; Upper bound; Cavity-Mode Anti-Resonances; Cuckoo Search Method; Decoupling Capacitor; Firefly Algorithm; Particle Swarm Optimization; Power Plane; Swarm Intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location
Seoul
ISSN
0271-4302
Print_ISBN
978-1-4673-0218-0
Type
conf
DOI
10.1109/ISCAS.2012.6272036
Filename
6272036
Link To Document