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Showing 1 to 3 of 3 for “"High-dimensional Problem"”.

  1. Efficient Merging and Decomposition Variants of Cooperative Particle Swarm Optimization for Large Scale Problems

    For large-scale optimization problems (LSOPs), an increased problem size reduces performance by both increasing the landscape complexity, as well as exponentially increasing the search space size. These contributing factors make up the "curse of dimensionality", which is addressed either by …

    brock Repository record for Efficient Merging and Decomposition Variants of Cooperative Particle Swarm Optimization for Large Scale Problems (opens in a new tab)

  2. Bayesian Methods for Mineral Processing Operations

    … make separating signal from noise difficult, while high process complexity and the multi-component nature of a feedstock can make testwork, optimization, and process simulation difficult or infeasible. A prime example of such a scenario is the recovery and separation of rare earth elements (REEs) and …

    vt Repository record for Bayesian Methods for Mineral Processing Operations (opens in a new tab)

  3. Developing physics-informed machine learning models for complex engineering systems design

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-08-01

    uiuc Repository record for Developing physics-informed machine learning models for complex engineering systems design (opens in a new tab)