A Genetic Algorithm Parameter Control Method using Deep Reinforcement Learning for Offshore Wind Farm Maintenance Planning

Domela Nieuwenhuis Nyegaard, D.

LIACS Thesis Repository

These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes.

Master Computer Science

The following thesis was written by a student in the 2021-2022 class of the Master Computer Science programme at Leiden University.

Thesis details

Title	A Genetic Algorithm Parameter Control Method using Deep Reinforcement Learning for Offshore Wind Farm Maintenance Planning
Student	Domela Nieuwenhuis Nyegaard, D.
Programme	Master Computer Science
Year	2021-2022
Supervisors	Rijn, dr. J.N. (Jan) van Plaat, prof.dr. A. (Aske)
Thesis	Open Thesis PDF

Citation details

Domela Nieuwenhuis Nyegaard, D., A Genetic Algorithm Parameter Control Method using Deep Reinforcement Learning for Offshore Wind Farm Maintenance Planning, Thesis Master Computer Science, LIACS, Leiden University, 2022.