The search of optimized conditions of response surface methodology by genetic algorithm combining penalty function
碩士 === 國立嘉義大學 === 食品科學系研究所 === 105 === Objective: In the study, we investigated genetic algorithm combining penalty function to develop an optimization program for RSM application of food and agriculture area. Methods: The steps of the newly developed algorithm are (1) randomly producing the initial...
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| Format: | Others |
| Language: | zh-TW |
| Online Access: | http://ndltd.ncl.edu.tw/handle/hakqv2 |