Abstract Currently, Offshore Wind Farms (OWFs) are designed to achieve high turbine
density so as to reduce costs. However, due to wake interferences, densely packing turbines …

Image registration is one of the most important image processing tools enabling recognition,
classification, detection and other analysis tasks. Registration methods are used to solve a …

Abstract Offering Product-Service Systems (PSS) becomes an established strategy for
companies to increase the provided customer value and ensure their competitiveness …

Handling nonlinear constraints in continuous optimization is challenging, and finding a
feasible solution is usually a difficult task. In the past few decades, various techniques have …

We present an automatic bi-objective parameter-tuning approach for inverse planning
methods for high-dose-rate prostate brachytherapy, which aims to overcome the difficult and …

In model-based evolutionary algorithms (EAs), the underlying search distribution is adapted
to the problem at hand, for example based on dependencies between decision variables …

This report presents benchmarking results of the Hill-Valley Evolutionary Algorithm version
2019 (HillVallEA19) on the CEC2013 niching benchmark suite under the restrictions of the …

In spite of substantial progress, robust and dexterous in-hand manipulation remains a
robotics grand challenge. Recent research has shown that optimization of robot hand …

Learning and exploiting problem structure is one of the key challenges in optimization. This
is especially important for black-box optimization (BBO) where prior structural knowledge of …

Deformable image registration is typically formulated as an optimization problem involving a
linearly weighted combination of terms that correspond to objectives of interest (eg similarity …