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    A Modified Particle Swarm Optimization Scheme and Its Application in Electronic Heat Sink Design

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    Date
    2010-06
    Type
    Conference Paper
    Author
    M. R. Alrasheed
    Gadala, Mohamed S.
    C. W. de Silva
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    Abstract
    Particle Swarm optimization (PSO) is a robust stochastic evolutionary computation technique which is based on the movement and intelligence of swarms. In this paper the PSO algorithm is modified to improve its performance in a class of design applications in heat transfer. The developed approach includes a new term called a chaotic acceleration factor (Ca) into the algorithm, which enhances its convergence rate and its accuracy. The modified PSO is empirically tested with well-known benchmark functions. Next it is applied in plate-fin design with the objective of dissipating the maximum heat generation from an electronic component by minimizing the entropy generation rate to obtain the highest heat transfer efficiency.
    URI
    https://dspace.adu.ac.ae/handle/1/1899
    DOI
    https://doi.org/10.1115/IPACK2007-33256
    Citation
    Alrasheed, M. R., de Silva, C. W., & Gadala, M. S. (2007, January). A modified particle swarm optimization scheme and its application in electronic heat sink design. In International Electronic Packaging Technical Conference and Exhibition (Vol. 42770, pp. 627-636).
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