高等作業研究
Advanced Operations Research
學期
114-2
學分
3
學分
當期課號
537027
永久課號
MGMS30128
開課單位
管理科學系
授課教師
盧浩鈞
校區
光復
類別
選修
上課時間表
| 節 | 週四 |
|---|---|
2 09:00–09:50 | 高等作業研究 M301 3 節連堂 |
3 10:10–11:00 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
概述
This is the second course that introduces deterministic and probabilistic optimization models such as dynamic programming, integer programm ing, nonlinear programming, Markov chain and queueing theory. This course focuses on modeling approaches, fundamental solution methodologies and their applications to the real world.
先修科目
1. Basic programming. 2. Operations research
評分方式
1.學期作業 (a) Paper representation (b) Final report 2.考試狀況: None 3.評量方法 (a) Paper representation (35%) (b) Final report (50%) (c) Class performance (15%)
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction |
| 第 2 週 | The concept of optimal method Classical Formulation Examples Unconstrained Optimization |
| 第 3 週 | LP/ NLP with Lingo/Cplex Code Types of Nonlinear Programming Problems Graphical Illustration of Nonlinear Programming Problems Some Perspectives on Solving Integer Programming Problem The Karush-Kuhn-Tucker (KKT) Conditions for Constrained Optimization |
| 第 4 週 | Multi-objective Decision Making – GP Multivariable Constrained Optimization Multi-objective & Multivariable Constrained Optimization |
| 第 5 週 | Paper study 1 – Multi-choice-goal-programming |
| 第 6 週 | SOS1 & SOS 2 (Improved logarithmic linearizing method for optimization problems with free-sign pure discrete signomial terms) Innovative Uses of Binary Variables in SOS 1 Model Formulation Innovative Uses of Binary Variables in SOS 2 Model Formulation |
| 第 7 週 | Paper study 2 – Multi-objective Decision Making – IGP |
| 第 8 週 | Midterm Report |
| 第 9 週 | Paper study 3 –Robust GP |
| 第 10 週 | Paper study 4 – The global optimization for cutting stock problem series On genetic algorithms for the packing of polygons |
| 第 11 週 | 專題演講1 |
| 第 12 週 | Meta-heuristic: PSO, DE, NLP, DTPSO |
| 第 13 週 | Advanced meta-heuristic: iLSHADE𝜖, 𝜖MAgES IEEE CEC competition on real-world single-objective constrained optimization problems |
| 第 14 週 | Agent-based modeling and operation with reinforcement machine learning (ABMOML) - Automation for semiconductor manufacturing |
| 第 15 週 | 專題演講2 |
| 第 16 週 | Final Report |
教科書
1. Teaching PowerPoint materials 2. Selected papers
Office Hours
- 地點
- M316
- 時間
- Wed. 13:10-16:30
- 聯絡方式
- bach0809@gmail.com