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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2019/2020

Evolutionary Computing

The course is not on the list Without time-table
Code Completion Credits Range Language
XP33ECD ZK 4 2P+1S Czech
Lecturer:
Tutor:
Supervisor:
Department of Cybernetics
Synopsis:

Introduction to evolutionary computing in contrast to classical computing

techniques, Genetic algorithms (GA) for optimisation. The Simple Genetic

Algorithm (SGA) and its behaviour. GA Convergence, negative phenomena. GA

and constrained tasks, special representations. Genetic Programming (GP),

relationship to GA. GP typical tasks, GP and machine learning. GA and GP

applications. Special methods for improving GA performance.

Requirements:
Syllabus of lectures:
Syllabus of tutorials:
Study Objective:
Study materials:

Michalewicz, Zbigniew: Genetic Algorithms + Data Structures = Evolution

Programs, Springer-Verlag, 1992

Note:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2019-09-19
For updated information see http://bilakniha.cvut.cz/en/predmet11520104.html