A robust learning based evolutionary approach for thermal-economic optimization of compact heat exchangers
This paper presents a robust, efficient and parameter-setting-free evolutionary approach for the optimal design of compact heat exchangers. A learning automata based particle swarm optimization (LAPSO) is developed for optimization task. Seven design parameters, including discreet and continuous one...
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Main Authors: | , , , |
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Format: | Article |
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2012
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Online Access: | http://eprints.utm.my/id/eprint/46530/ http://dx.doi.org/10.1016/j.icheatmasstransfer.2012.10.002 |
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