Memetic algorithm using multiple surrogates for complex engineering design optimization

Memetic algorithm using multiple surrogates for complex engineering design optimization

Complex engineering design (CED) optimization problems in science and engineering commonly have large design spaces. In such design spaces, typically thousands of exact fitness evaluations are required to locate a near optimal design. Often in photonics, electromagnetic, aerospace, biomedical and mi...

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書目詳細資料
主要作者:	Zhou, Zongzhao
其他作者:	Ong Yew Soon
格式:	Theses and Dissertations
語言:	English
出版:	2008
主題:	DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering
在線閱讀:	https://hdl.handle.net/10356/13587
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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