3 papers
cs.LG2026
Causal Semantic Alignment for LLM-based Time Series Forecasting
Kexuan Zhang, Xiaobei Zou, Cesare Alippi +2
Recent advances in Large Language Models (LLMs) have opened new possibilities for time series forecasting by enabling alignment between temporal patterns and pretrained word embedd…
math.OC2024
A Composite Decomposition Method for Large-Scale Global Optimization
Maojiang Tian, Minyang Chen, Wei Du +3
Cooperative co-evolution (CC) algorithms, based on the divide-and-conquer strategy, have emerged as the predominant approach to solving large-scale global optimization (LSGO) probl…
cs.AI2024
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling
Wenxuan Fang, Wei Du, Renchu He +3
Gasoline blending scheduling uses resource allocation and operation sequencing to meet a refinery's production requirements. The presence of nonlinearity, integer constraints, and…