Stephen Friess

According to our database, Stephen Friess authored at least 7 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Inductive biases and metaknowledge representations for search-based optimization.

Stephen Friess

PhD thesis, 2022

Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction.

Stephen Friess, Peter Tino, Stefan Menzel, Zhao Xu, Bernhard Sendhoff, Xin Yao

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Predicting CMA-ES Operators as Inductive Biases for Shape Optimization Problems.

Stephen Friess, Peter Tino, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization.

Stephen Friess, Peter Tiño, Zhao Xu, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Improving Sampling in Evolution Strategies Through Mixture-Based Distributions Built from Past Problem Instances.

Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators.

Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Learning Transferable Variation Operators in a Continuous Genetic Algorithm.

Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019