Lab exercises

19.09.	1.	S	Successful applications of EAs (lecture in the time of lab exercise)
26.09.	2.	L	LS for binary representation.	/Marek Obitko: Genetic Algorithms Tutorial
03.10.	3.	S	LS for real-number representation, 1/5 rule.
10.10.	4.	L	EA for binary/real/permutation representation. HW1 assignment.
17.10.	5.	S	How to present results reasonably. Work on HW1 + consultations.
24.10.	6.	L	Consultations.	The deadline for HW1 follows on Sunday.
31.10.	7.	S	Implementation of multi-objective EA.
07.11.	8.	L	Implementation of constraints-related techniques. HW2 assignment.
14.11.	9.	S	Introduction to topics for semestral tasks.
21.11.	10.	L	Genetic programming - practical example.	The deadline for HW2 follows on Sunday.
28.11.	11.	S	Work on semestral tasks, consultations.
05.12.	12.	L	Work on semestral tasks, consultations.
12.12.	13.	S	Work on semestral tasks, consultations.	The deadline for semestral task follows.
09.01.	14.	L	Presentations

Links

Homeworks - exercise the methods from lectures on simple examples.
Semestral tasks - solve a more complex, or real-world problem using evolutionary methods.