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04.02.2023 17:31:16
Lecture: 2.01.535 Evolution Strategies - Details
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General information

Course name Lecture: 2.01.535 Evolution Strategies
Subtitle iinf535
Course number 2.01.535
Semester WiSe22/23
Current number of participants 101
expected number of participants 100
Home institute Department of Computing Science
Courses type Lecture in category Teaching
Type/Form 2V+2Ü
Participants For all
Pre-requisites Basic knowledge in programming and math are helpful (Python, linear algebra, stochastics).
Learning organisation This course gives an introduction to optimization. It introduces a (1+1)-ES, population-based evolution strategies, parameter control, self-adaptation, and leads to the famous CMA-ES. Besides introducing the foundations of natural evolution strategies, restart strategies, constraint handling, and multi-objective optimization is introduced.
Performance record There will be an exam shortly after the lecture.
Lehrsprache deutsch

Course location / Course dates

Blockseminar - Zeiten und Ort nach Vereinbarung, bitte wenden Sie sich an die Lehrenden.

Module assignments

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