Lectures

Below you can see the schedule for winter semester 2020/21. 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.

Lecturers:

JK: Jiří Kubalík
PP: Petr Pošík

The order and contents of the lectures can change, including the competencies!

Competencies you should get after each lecture.

datum	č.t.	S/L	Lecturer	Contents	Materials	Reading
21.09.	1.	L	PP	Optimization. Local search and evolutionary algorithms.	Slides. To print.	Chapters 1, 2, intro of 3 and 3.2 from [Luke2009]
			PP	Lecture in the exercise time slot: Successful applications of EAs.	applications_of_eas_-_2019.pptx, applications_of_eas_-_2019.pdf
28.09.	2.	S		Holiday.
05.10.	3.	L	JK	Discrete EAa. Binary representation, permutations.	a0m33eoa_sga.pdf, MTSP video	Chapters 3.2, 3.3, 4.1 from [Luke2009].
12.10.	4.	S	PP	EAs with real representation.	Slides. To print.	Chapters 3.1, 3.2, 3.4, 4.1, 9.2.3 from [Luke2009].
19.10.	5.	L	PP	EA with real representation (part 2). Other types of metaheuristics: PSO. ACO.	Slides. To print.	Chapters 3.4, 3.5 and 8 (esp. 8.3) from [Luke2009].
26.10.	6.	S	PP	No Free Lunch. Comparing performance of EAs.	Slides. To print.	Chapter 11 from [Luke2009], esp. 11.1 - 11.2.
02.11.	7.	L	JK	Multiobjective optimization. Dominance, Pareto optimality. NSGAII, SPEA2.	a0m33eoa_moea.pdf , Examples of real applications	Chapter 7 from [Luke2009].
09.11.	8.	S	JK	Constraints. Penalization, stochastic ranking, multiobjective approach.	a0m33eoa_constrainthandling.pdf
16.11.	9.	L	JK	Genetic programming. Basic principles and applications.	a0m33eoa_geneticprogramming.pdf	Chapters 3.3.3, 4.3 from [Luke2009].
23.11.	10.	S	JK	Grammatical evolution, Cartesian GP.	a0m33eoa_ge.pdf, ge_adfs.pdf, a0m33eoa_cgp.pdf
30.11.	11.	L	PP	Estimation of Distribution Algorithms.	Slides. To print.	Chapter 9 from [Luke2009].
07.12.	12.	S	PP	Parallel EAs, coevolution.	Slides. To print.	Chapters 5 and 6 from [Luke2009].
14.12.	13.	L	JK	Issues with GP - “bloat” and diversity preservation. Parameters of EAs: tuning and adaptation.	a0m33eoa_bloat_2020.pdf, a0m33eoa_parametercontrol_paramils.pdf, a0m33eoa_frace_final.pdf
04.01.	15.	L	PP, JK	Presentations of semestral tasks.