Drug discovery still too often relies on expensive trial and error. Researchers from ICTER show there is another way—building ...
A new publication from Bielefeld University sets a benchmark in optimization research. Together with an international team, Professor Michael Römer from the Faculty of Business Administration and ...
A University of Manchester researcher has developed a machine-learning method to spot sudden changes in fluid behavior, known as bifurcation points, before traditional simulations fail. The approach ...
The dorsal S-duct inlet of a HALE blended wing body UAV faces complex unsteady disturbances during operation. This study ...
Abstract: Various methods for robot design optimization have been developed so far. These methods are diverse, ranging from numerical optimization to black-box optimization. While numerical ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Abstract: Computer numerical control (CNC) machine tools consume a large amount of raw materials in its manufacturing process. With the emphasis on the economy of machine tools, reducing the material ...
This project implements advanced portfolio optimization techniques using numerical optimization methods in Python. The focus is on Conditional Value-at-Risk (CVaR) optimization and Mean-Variance ...
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