EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming

ArXi:2604.25499v1 Announce Type: new Time series classification is an important analytical task across diverse domains. However, its practical application is often hindered by the scarcity of labeled data and the requirement for substantial computational resources. To address these challenges, this paper proposes EvoTSC, a novel genetic programming approach designed to automatically evolve lightweight feature learning models for time series classification.