Cost-Based Design of a Heat Sink Using SVR, Taguchi Quality Loss, and ACO
作者： Chih-Ming Hsu
DOI: 10.1007/978-981-4451-98-7_92
关键词:
摘要: This study proposed a cost-based procedure for resolving multi-response parameter design problems using support vector regression (SVR), Taguchi quality loss and ant colony optimization (ACO). A case aiming to optimize the of heat sink applied in high-power MR16 LED lamp was used demonstrate procedure. The experimental results indicated that can provide highly robust settings parameters which maximize thermal performance, as well minimize actual material cost sink. Furthermore, decision makers no longer need determine relative weight each response subjectively. Therefore, approach this be considered feasible effective, popularized useful tool general real world.
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sci-hub.st 参考文章(15)
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