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A Surrogate-Assisted Highly Cooperative Coevolutionary Algorithm for Hyperparameter Optimization in Deep Convolutional Neural Network
Convolutional neural networks (CNNs) have gained remarkable success in recent years.
A Surrogate-Assisted Variable Grouping Algorithm for General Large Scale Global Optimization Problems
SVG first designs a general-separability-oriented detection criterion according to whether the optimum of a variable changes with other variables.
An Eigenspace Divide-and-Conquer Approach for Large-Scale Optimization
Different from existing DC-based algorithms that perform decomposition and optimization in the original decision space, EDC first establishes an eigenspace by conducting singular value decomposition on a set of high-quality solutions selected from recent generations.
Color Point Cloud Registration Based on Supervoxel Correspondence
Different from traditional feature-based methods, we design a hybrid feature representation with color moments of the point, which could be applied naturally for any color point cloud.
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