Introduction to Meta-heuristics (CSC06A)

Quarter
Time
Place
Instructors

3
Wed-1, Wed-2, Wed-3, and Wed-4
M11
Prof. Qiangfu Zhao and Prof. Yong Liu

Course description

Course objective

Course schedule

Class Schedule

Number Date and Time Contents Lecture notes
1 10/2, 1-2 Classification of optimization problems and case studies [Lecture-1]
2 10/2, 3-4 A brief review of conventional search algorithms [Lecture-2]
3 10/9, 1-2 Tabu search [Lecture-3]
4 10/9, 3-4 Simulated annealing [Lecture-4]
5 10/16, 1-2 Iterated local search and guided local search [Lecture-5]
6 10/16, 3-4 Team work I: solving problems using single-point search algorithms [Team work - I]
7 11/6, 1-2 Team work I: Presentation of team-work results ---
8 11/6, 3-4 Genetic algorithm [Lecture-6]
9 11/13, 1-2 Other Evolutionary Algorithms [Lecture-7]
10 11/13, 3-4 Differential evolution [Lecture-8]
11 11/20, 1-2 Swarm Intelligence [Lecture-9]
12 11/20, 3-4 Memetic algorithms [Lecture-10]
[Lecture-11]
13 11/28, 1-2 Team work II: solving problems using multi-point search algorithms [Team work - II]
14 11/28, 1-2 Team work II: Presentation of team-work results ---

Textbook

Prerequisites

Student Evaluation

Referential sources