Differential Evolution Framework for Intelligent Charging Scheduling

智能充电调度是一个重要的挑战，动态环境中的交通网络和各种意想不到的问题。本项目旨在开发一个用于智能充电调度的差分进化框架。该框架包括一个全面的收费调度模型与各种道路网络和因素。该项目的成果包括分布式进化计算框架，差分进化算法和合作的协同进化策略。结果将通过对公共数据集的实际评估和与相关作品的比较来证明。 该项目在人工智能技术的理论研究和真实的交通系统的应用方面都对我国有一定的借鉴意义。

Smart charging scheduling is a vital challenge as dynamic environment with traffic networks and various unexpected issues. This project aims to develop a differential evolution framework for intelligent charging scheduling. The framework consists of a comprehensive charging scheduling model with various road networks and factors. The project outcomes include a distributed evolutionary computation framework, differential evolution algorithms, and cooperative co-evolutionary strategies. The outcome results will be demonstrated by practical evaluations over public datasets and comparisons to related works. The project is beneficial to the nation in both theory of artificial intelligence techniques and applications of real transport systems.