系所

資訊科技與管理研究所

1 年級

課號 / 班別

ms1213 / B

3 學分

科目中文名稱

多準則最佳化與決策

科目英文名稱

Multicriteria Optimization and Decision

每週授課時數

3 小時

必選科目

任課老師

鄒慶士

開課期間

一學期

人數上限

20 人

一、教學目標

Understand the mathematical theory of optimization under multiple objectives,use evolutionary algorithms to solve the multiple objective optimization problems and its applications in business and management. (School core ability:professional knowledge, practical techniques, innovation and research,English language skills; Department core ability:

information management profession, hands-on learning, innovation and research)

二、先修科目

Operations Research, Statistics, and Algorithms

三、教材內容

Deb, K. (2001), Multiobjective Optimization using Evolutionary Algorithms,John Wiley & Sons.
Ehrgott, M. (2005), Multicriteria Optimization, 2nd Edition. Springer, Berlin.
Ehrgott, M. (2000), Multicriteria Optimization, Springer.

四、教學方式

Lecture, discussion, presentation and term paper

五、參考書籍

六、教學進度

Topic 1 (Feb./24): Prologue
Topic 2 (Mar./3&10): Multi-objective optimization
Topic 3 (Mar./17&24): Classical methods for multi-objective optimization
Topic 4 (Mar./31, Apr./7&14): Evolutionary algorithms
Mid-term Exam. (Apr./21)

Topic 5 (Apr./28, May/5): Nonelistist multi-objective evolutionary algorithms
Topic 6 (May/12&19): Elistist multi-objective evolutionary algorithms
Topic 7 (May/26): Constrained multi-objective evolutionary algorithms
Topic 8 (Jun./2&9): Salient issues multi-objective evolutionary algorithms
Topic 9 (Jun./16): Presentations about Multiple Attributes Decision Analysis
Final Exam. (Jun./23)

七、評量方式

Attendance & discussion 10%, presentation 30%,

mid-term exam. 30%,final exam. 30%

八、講義位址