A0M33EOA - Evolutionary Optimization Algorithms

Evolutionary algorithms are stochastic optimization techniques, originally inspired by nature. The goal of this course is to introduce this class of optimization algorithms, including the issues that must be solved when applying them and their solutions. During the lectures, various kinds of evolutionary algorithms will be presented, including the application areas. During the computer labs, students will implement their own evolutionary algorithms to solve more complex optimization problems.

The course brings you 6 ECTS credits. On average, you should devote 2 hours to lectures, 2 hours to excercises, and 5 to 6 hours to home work each week!

• Lecturer and lab instructor: Petr Pošík
• Competences, lectures, lab exercises
• Study materials
• Course schedule
• Discord channel / Forum
• BRUTE (Submission system)
• Exam test example, in Czech