2 項進行中

115-1 選課時程

進行中

  • 初選第一階段 6/15 – 6/18
  • 初選第二階段 6/22 – 6/25
  • 校際選修 進行中 8/24 – 9/18
  • 初選第三階段 8/31 – 9/3
  • 開學後加退選 進行中 9/7 – 9/21
  • 逾期加退選 9/21 – 9/24
選課資源

加入行事曆

選擇訂閱 Google Calendar,或下載通用的 ICS 檔案。

使用 Google Calendar 時,Google 會收到這份課表的公開連結。

啟發式解法

Heuristics

學期
115-1
學分
3 學分
當期課號
537208
永久課號
MGTM30008
開課單位
運輸與物流管理學系物流管理碩博士班、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
週二
2
09:00–09:50
啟發式解法
A904(光復)
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 soft-computing heuristics that can solve difficult problems in Transportation and Logistics Management. We shall use several classical optimization problems to introduce the implementation of these heuristics, the theoretical foundations, and the guidelines (e.g., the parameter settings, etc.) for applying these heuristics

先修科目

Basic programming skills and elementary level of probability theory.

備註

無備註

教學方式

All the lectures and the midterm examination will be in class unless Prof. Yao makes a particular announcement due to the consideration of pandemic control.

評分方式

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

課程大綱
  • Design of Local Search

    1. The Traveling Salesman Problem 2. Constructive Heuristic procedure for solving TSP 3. Local search for solving TSP

    講授:
    12
  • Simulated Annealing (SA)

    1. Introduction of the SA 2. Theoretical Background of SA 3. Application of SA: Graph Partitioning Problem 4. Optimizing the Parameter Setting in Simulated Annealing

    講授:
    15
  • Genetic Algorithm (GA)

    1. Introduction of the GA 2. Theoretical Background of Genetic Algorithm using Binary Encoding 3. Hybrid GA with local search procedures 4. Applying GA for Solving Constrained Optimization Problems

    講授:
    18
週次計畫
週次主題
第 1 週

A Constructive Heuristic for Solving Traveling Salesman Problem

2026-09-08(二)
第 2 週

Local Search Algorithms for Solving Traveling Salesman Problem

2026-09-15(二)
第 3 週

Local Search Operators for Solving TSP/VRP

2026-09-22(二)
第 4 週

Application of Simulated Annealing: Graph Partitioning Problem

2026-09-29(二)
第 5 週

Introduction of the Simulated Annealing and Theoretical Background of Simulated Annealing

2026-10-06(二)
第 6 週

Application of Simulated Annealing: Graph Partitioning Problem

2026-10-13(二)
第 7 週

Application of Simulated Annealing: Graph Partitioning Problem

2026-10-20(二)
第 8 週

Optimizing the Parameter Setting in Simulated Annealing

2026-10-27(二)
第 9 週

Introduction to the Genetic Algorithm The Implementation of Genetic Algorithms

2026-11-03(二)
第 10 週

The Theoretical Background of Genetic algorithms

2026-11-10(二)
第 11 週

Selected Topics on Selection and Termination

2026-11-17(二)
第 12 週

The Genetic Algorithm Using Integer Encoding

2026-11-24(二)
第 13 週

Term project presentation

2026-12-01(二)
第 14 週

Midterm Examine

2026-12-08(二)
第 15 週

Term project presentation

2026-12-15(二)
第 16 週

Term project presentation

2026-12-22(二)
教科書

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

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