The schedule for winter semester 2024/25 is shown below. The linked lecture materials come from previous runs of the course, and they can (and probably will) be updated during the actual semester. The order of lectures can change.
Lecturer:
Competencies you should get after each lecture.
The order and contents of the lectures can change, including the competencies!
date | week | Contents | Materials | Reading |
---|---|---|---|---|
23.09. | 1. | Optimization. Local search and evolutionary algorithms. | Slides. Handouts. (Updated 20220919.) | Chapters 1, 2, intro of 3 and 3.2 from [Luke2009] |
Lecture in the exercise time slot: Successful applications of EAs. | applications_of_eas_2022.pptx (WARNING: BIG FILE), applications_of_eas_2022.pdf | |||
30.09. | 2. | Discrete EAa. Binary representation, permutations. | Slides. Handouts. (Updated 20210929.) MTSP video | Chapters 3.2, 3.3, 4.1 from [Luke2009]. |
07.10. | 3. | EAs with real representation. | Slides. Handouts. (Updated 20221003.) | Chapters 3.1, 3.2, 3.4, 4.1, 9.2.3 from [Luke2009]. |
14.10. | 4. | EA with real representation (part 2). Other types of metaheuristics: PSO. ACO. | Slides. Handouts. (Updated 20221010.) | Chapters 3.4, 3.5 and 8 (esp. 8.3) from [Luke2009]. |
21.10. | 5. | No Free Lunch. Comparing performance of EAs. | Slides. Handouts. (Updated 20221017.) | Chapter 11 from [Luke2009], esp. 11.1 - 11.2. |
28.10. | 6. | Holiday | ||
04.11. | 7. | Multiobjective optimization. Dominance, Pareto optimality. NSGAII, SPEA2. | Slides. Handouts. (Updated 20231119.) Examples of real applications | Chapter 7 from [Luke2009]. |
11.11. | 8. | Constraints. Penalization, stochastic ranking, multiobjective approach. | Slides. Handouts. (Updated 20231113.) a0m33eoa_constrainthandling.pdf | |
18.11. | 9. | Genetic programming. Basic principles and applications. | Slides. Handouts. (Updated 20231127.) | Chapters 3.3.3, 4.3 from [Luke2009]. |
25.11. | 10. | Grammatical evolution, Cartesian GP. | Slides. Handouts. (Updated 20211115.) | |
02.12. | 11. | Estimation of Distribution Algorithms. | Slides. Handouts. (Updated 20211122.) | Chapter 9 from [Luke2009]. |
09.12. | 12. | Parallel EAs, coevolution. | Slides. Handouts. (Updated 20211129) | Chapters 5 and 6 from [Luke2009]. |
16.12. | 13. | Parameters of EAs: tuning and adaptation. | Slides. Handouts. (Updated 20211206.) | |
06.01. | 14. | Presentations of semestral tasks. |
Bonus for the interested ones:
Quality-Diversity Optimization (watch online) | GECCO 2021 QD Tutorial + slides (access from FEL or via FEL VPN). Alternative: ICML 2019 Tutorial |
Neither lectures nor the labs are streamed/recorded this year. Below you can find recordings of online lectures in BigBlueButton from 2020/21 with Jiří Kubalík and Petr Pošík as the lecturers.