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Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling
The presence of nonlinearity, integer constraints, and a large number of decision variables adds complexity to this problem, posing challenges for traditional and evolutionary algorithms.
A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions
The primary objective of the peak-detection stage is to identify peaks in the fitness landscape of the original optimization problem.
Adversarial Learning of Hard Positives for Place Recognition
Our method learns local and global augmentation policies which will increase the training loss, while the image retrieval network is forced to learn more powerful features for discriminating increasingly difficult examples.
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