啟發式解法

Heuristics

學期

111-1

學分

3 學分

當期課號

537206

永久課號

MGTM30008

開課單位

運輸與物流管理學系交通運輸碩博士班

授課教師

姚銘忠

校區

光復

類別

選修

上課時間表

節	週二
2 09:00–09:50	啟發式解法 A904 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 course would like to introduce several Softcomputing heuristics that shall be able to solve the difficult problems in Transportation and Logistics Management. We shall use several classical optimization problems as platforms to introduce the implementation of these heuristics, the theoretical foundations and the guidelines (e.g., the parameter settings, etc) for the application of these heuristics.

先修科目

Basic programming skill and elementary level of probability theory.

教學方式

If students are unable to attend in-person courses due to waiting to inbound, quarantine, tested positive for COVID-19 or home isolation, etc, please contact TA (Ms. Anita Huang, anitahuang.mg10@nycu.edu.tw) for a link to access Prof. Yao's lecture online. All the lectures and the midterm examination will be in-class unless Prof. Yao makes particular announcement due to the consideration of pandemic control.

評分方式

1. Homework 50% 2. Midterm examine 40% 3. Final presentation 10%

課程大綱

Fundamentals of Algorithm Design and Complexity Analysis.
Design of Local Search
Simulated Annealing (SA)
Genetic Algorithm (GA)

週次計畫

週次	主題
第 1 週	Fundamentals of Algorithm Design and Complexity Analysis.
第 2 週	Design of Local Search Algorithms for Solving Traveling Salesman Problem
第 3 週	Design of Local Search Algorithms for Solving Traveling Salesman Problem
第 4 週	Application of Simulated Annealing: Graph Partitioning Problem
第 5 週	Introduction of the Simulated Annealing and Theoretical Background of Simulated Annealing
第 6 週	Application of Simulated Annealing: Graph Partitioning Problem
第 7 週	Optimizing the Parameter Setting in Simulated Annealing
第 8 週	Introduction of the Genetic Algorithm
第 9 週	The Implementation of Genetic Algorithm
第 10 週	The Theoretical Background of Genetic Algorithm
第 11 週	Selected Topics on Selection and Termination
第 12 週	Midterm Examine
第 13 週	The Genetic Algorithm using Integer Encoding
第 14 週	Hybrid Genetic Algorithm with local search procedures Applying Genetic Algorithm for Solving Constrained Optimization Problems
第 15 週	Term project presentation
第 16 週	Term project presentation
第 17 週	Online learning
第 18 週	Online learning

教科書

1. The lecture notes prepared by Prof. Yao. 2. The journal papers related to the introduced Softcomputing heuristics.

Office Hours

地點: A809
時間: MON GH
聯絡方式: ext: 57215 myao@nycu.edu.tw