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Showing 1 to 2 of 2 for “"expensive black-box optimization"”.

  1. Proposing effective coordinate search methods for solving large-scale expensive black-box optimization problems

    In engineering and science, optimization plays a vital role in many real-world applications. In this work, several novel optimization algorithms based on Coordinate Search (CS) algorithm are proposed. CS is a gradient-free technique and we have enhanced them for solving Black-box, non-convex, and …

    uoit Repository record for Proposing effective coordinate search methods for solving large-scale expensive black-box optimization problems (opens in a new tab)

  2. Learning-accelerated algorithms for simulation and optimization

    Simulation and optimization are fundamental building blocks for many computational methods in science and engineering. In this work, we explore the use of machine learning techniques to accelerate compute-intensive tasks in both simulation and optimization. Specifically, two algorithms are …

    uiuc Repository record for Learning-accelerated algorithms for simulation and optimization (opens in a new tab)