CompEvo: Competition-Induced Evolution for Multi-Agent in News-Driven Time Series Forecasting
This work proposes CompEvo, a trainable multi-agent evolution framework that integrates strategy execution, fitness-based differentiable selection, and competition-induced strategy evolution that enables heterogeneous agents to explore diverse news evidence, converts forecasting feedback into differentiable influence w...