Application of nature inspired algorithms in power delivery network design: An industrial case study

Author

Tripathi, Jai Narayan ; Mukherjee, Jayanta ; Nagpal, Raj Kumar ; Malik, Rakesh

Author_Institution

TR&D, STMicroelectron. Pvt. Ltd., Noida, India

fYear

2014

Firstpage

103

Lastpage

106

Abstract

This paper presents application of nature inspired algorithms for solving an industrial problem of power delivery network design. To achieve the target impedance in a power delivery network, optimum number of decoupling capacitors and their optimum locations on board are found from thousands of available capacitors. S-parameters based data is used for the accurate analysis. Three natural computing algorithms - Particle Swarm Optimization, Cuckoo Search and Firefly Algorithm are used and compared for solving this problem.

Keywords

S-parameters; capacitors; electric impedance; particle swarm optimisation; S-parameters; cuckoo search; decoupling capacitors; firefly algorithm; industrial case study; industrial problem; natural computing algorithms; nature inspired algorithms; optimum locations; particle swarm optimization; power delivery network; target impedance; Algorithm design and analysis; Capacitors; Impedance; Optimization; Particle swarm optimization; Ports (Computers); Upper bound; Decoupling Capacitors; Nature Inspired Algorithms; Power Delivery Networks; Power Integrity; S-parameters; Swarm Intelligence;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Performance of Electronic Packaging and Systems (EPEPS), 2014 IEEE 23rd Conference on

Print_ISBN

978-1-4799-3641-0

Type

conf

DOI

10.1109/EPEPS.2014.7103606

Filename

7103606