3 papers
cs.NE2026
Wasserstein Evolution : Evolutionary Optimization as Phase Transition
Kaichen Ouyang, Mingyang Yu, Zong Ke +5
Evolutionary algorithms (EAs) serve as powerful black-box optimizers inspired by biological evolution. However, most existing EAs predominantly focus on heuristic operators such as…
cs.NE2025
Time-Fair Benchmarking for Metaheuristics: A Restart-Fair Protocol for Fixed-Time Comparisons
Junbo Jacob Lian
Numerous purportedly improved metaheuristics claim superior performance based on equivalent function evaluations (FEs), yet often conceal additional computational burdens in more i…
cs.CV2024
Twisted Convolutional Networks (TCNs): Enhancing Feature Interactions for Non-Spatial Data Classification
Junbo Jacob Lian, Haoran Chen, Kaichen Ouyang +3
Twisted Convolutional Networks (TCNs) are proposed as a novel deep learning architecture for classifying one-dimensional data with arbitrary feature order and minimal spatial relat…