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- W1997322344 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." @default.
- W1997322344 created "2016-06-24" @default.
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- W1997322344 date "2007-01-01" @default.
- W1997322344 modified "2023-09-26" @default.
- W1997322344 title "A New Extension of Particle Swarm Optimization and Its Application in Electronic Heat Sink Design" @default.
- W1997322344 doi "https://doi.org/10.1115/imece2007-41224" @default.
- W1997322344 hasPublicationYear "2007" @default.
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