工程最佳化與應用

臺北科技大學 115-1 學期課程，課號 364883。

課程大綱

Engineering Optimization Concepts, Linear Programming Methods, Nonlinear Programming Methods, Multi-objective Optimization, Introduction to Modern Mathematical Programming Techniques, and Deep Learning.

課程進度

Week 1 (9/7) : Introduction Week 2 (9/14) : Programming with MATLAB Week 3 (9/21) : Basic of Optimization Methods Week 4 (9/28) : Holiday Week 5 (10/5) : One-Dimension Search Week 6 (10/12) : Newton’s Method Week 7 (10/19) : Gradient Methods Week 8 (10/26) : Holiday Week 9 (11/2) : Mid-term project presentation Week 10 (11/9) : Holiday Week 11 (11/16) : Neural Network Week 12 (11/23) : Genetic algorithm Week 13 (11/30) : Nonlinear Programming Week 14 (12/7) : Toolbox of MATLAB Week 15 (12/14) : Reinforcement learning Week 16 (12/21) : Final Project Preparation Week 17 (12/28) : Programming Week 18 (1/4) : Project submit

評量方式

Homework assignment 40% A mid-term presentation 30% A final presentation 15% A final report 15%

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 P. Venkataraman, ‘Applied Optimization with MATLAB programming’, Wiley, 2009 Andreas Antoniou, Wu-Sheng Lu, ‘Practical Optimization: Algorithms and Engineering Applications’, Springer, 2021 Urmila M. Diwekar, ‘Introduction to Applied Optimization’, Springer, 2020 Steven C. Chapra, ‘Applied Numerical Methods with MATLAB for Engineers and Scientists’, McGraw Hill, 2018