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Cover Page The handle http://hdl.handle.net/1887/87271

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The handle http://hdl.handle.net/1887/87271 holds various files of this Leiden University dissertation.

Author: Bagheri, S.

Title: Self-adjusting surrogate-assisted optimization techniques for expensive constrained black box problems

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About the Author

Samineh Bagheri born in 1989, received her B.Sc. degree in electrical engineering specialized in electronics from Shahid Beheshti University, Tehran, Iran in 2011. She received her M.Eng. in Industrial Automation & IT from TH K¨oln – University of Applied Sciences, Germany in 2015. In the same year she started working as a research associate at TH K¨oln and joined the Natural Computing Group of Prof. Thomas B¨ack at the Leiden Institute for Advanced Computer Science (LIACS), as a PhD candidate. Her research interests include but are not limited to computational intelligence, surrogate-assisted optimization, self-adjusting intelligent methods and reinforcement learning in games.

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