Lehrinhalte
theory of biological evolution, introduction to genetics, population genetics, population growth, evolutionary algorithms, applications, DNA computing, artificial life, theory of evolutionary algorithms, optimization algorithms, multi-objective optimization, meta models, co-evolution, genetic coding, representations of evolutionary algorithms, developmental processes, self-adaptation, evolution and learning
Literatur
D.J. Futuyama: Evolutionary Biology. W. Henning, Genetik, Springer Verlag; D.B. Fogel: Evolutionary Computation, IEEE Press; I. Rechenberg: Evolutionsstrategie 94; H.-P. Schwefel: Evolution and Optimum Seeking
Voraussetzungen
Introductory courses mathematics. Basic computer skills.
Online-Angebote
moodle
theory of biological evolution, introduction to genetics, population genetics, population growth, evolutionary algorithms, applications, DNA computing, artificial life, theory of evolutionary algorithms, optimization algorithms, multi-objective optimization, meta models, co-evolution, genetic coding, representations of evolutionary algorithms, developmental processes, self-adaptation, evolution and learning
Literatur
D.J. Futuyama: Evolutionary Biology. W. Henning, Genetik, Springer Verlag; D.B. Fogel: Evolutionary Computation, IEEE Press; I. Rechenberg: Evolutionsstrategie 94; H.-P. Schwefel: Evolution and Optimum Seeking
Voraussetzungen
Introductory courses mathematics. Basic computer skills.
Online-Angebote
moodle
- Lecturer: Bernhard Sendhoff
Semester: ST 2021
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