Computational Engineering

The scope of this course is an optimal design in the field of Computational Engineering. This course is composed of three parts. The first one lectures on modeling and computational principles of optimal design. Several optimization methods are described in the second topics including CAX technologies. The last one exercises the development and presentation of original optimization method.

1．	Review for Optimal Design
2．	Translating design problem into optimization problems
3．	Translating constraint conditions into penalty functions
4．	Basic algorithms derived from optimality conditions – Gradient method
5．	Basic algorithms derived from optimality conditions – QP method
6．	Non-linear optimization algorithm - SQP method
7．	Non-linear optimization algorithm for Multi-peak problems – HJ method
8．	Soft computing method for Multi-peak problems – SA method
9．	Evolutional algorithm for Multi-peak problems – GA method (1)
10．	Evolutional algorithm for Multi-peak problems – GA method (2)
11．	Review and lecture for Computer Aided Exploration (CAX)
12．	Development of original optimization method for benchmark functions (1)
13．	Development of original optimization method for benchmark functions (2)
14．	Development of original optimization method for benchmark functions (3)
15．	Presentation and discussion of the developed methods

開講部	大学院理工学研究科　修士課程
開講学科	機械工学専攻
開講学年	1年次
開講時期	後期
単位数	2
単位区分	特修
系列区分	特論
講義区分	講義

4M997000

科目英語名称

授業内容

授業計画

評価方法と基準

教科書・参考書

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