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...
Main Author: | |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Online Access: | http://ndltd.ncl.edu.tw/handle/hakqv2 |