Course on Evolutionary Algorithms

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Basic information on the course:

Academic year 2025/2026

Basic study literature for the course
eapp Evolutionary algorithms: elements and principles
eapp Evolutionary algorithms: problem solving

Additional material to the course

Lectures' mind maps

Introduction map as html map as pdf obr1.1 obr2.1
Selection map as html map as pdf s91-s92
Replacement map as html map as pdf
Representation map as html map as pdf s41-s42
Fitness map as html map as pdf s48 s56-s57
Genetic operators map as html map as pdf obr8.7 obr8.8
Population diversity map as html map as pdf obr10.1 obr10.2 obr10.3-obr10.5
Niche problems map as html map as pdf obr1.3 obr1.4 obr1.5 obr1.6-obr1.9
Multicriterial problems map as html map as pdf obr2.1 obr2.2 obr2.4-obr2.5 obr2.6-obr2.9
Non-stationary problems map as html map as pdf obr3.2 obr3.4 obr3.5-obr3.6 obr3.7-obr3.9
Constrained problems map as html map as pdf obr4.6 obr4.7 obr4.8-obr4.11
Sequencial problems (TSP) map as html map as pdf
Schema theorem map as html map as pdf obr11.1
Parameter setting map as html map as pdf obr9.1-obr9.2

Case studies

Students' projects

Students' experiments

go Simple version of EA (search for function extreme)
go Bias/spread of selection methods: experiment notebook, data
go Takeover-time: experiment notebook,
go Representation types: experiment notebook,

Auxiliary material


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Last updated 3.3.2026