CORDIS Project
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This project aims to improve algorithmic theory for optimization problems by moving beyond worst-case scenarios. It will explore new theoretical approaches to enhance the performance of algorithms in practical applications, particularly in logistics and machine learning.
For many optimization problems that arise in logistics, information retrieval, and other contexts the classical theory of algorithms has lost its grip on reality because it is based on a pessimistic worst-case perspective, in which the performance of an algorithm is solely measured by its behavior on the worst possible input.
This does not take into consideration that worst-case inputs are often rather contrived and occur only rarely in practical applications.
It led to the situation that for ma…
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