Efficient Optimisation
Efficient optimization focuses on developing faster and more effective algorithms to find optimal solutions in various complex problems. Current research emphasizes improving existing methods like evolutionary algorithms and Gaussian processes, exploring novel approaches such as leveraging neural network surrogates and graph-based techniques, and refining optimization strategies for specific applications, including reservoir computing and medical image registration. These advancements are crucial for enhancing the efficiency of diverse fields, from urban planning (e.g., optimizing bike-sharing systems) to engineering design and machine learning, ultimately leading to improved resource allocation and more effective solutions.
Papers
March 28, 2024
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