Differential Evolution Framework for Intelligent Charging Scheduling

随着交通网络的动态变化和各种意外问题的出现，智能充电调度是一个至关重要的挑战。该项目旨在开发一种用于智能充电调度的差异进化框架。该框架包括一个包含各种路网和各种因素的综合收费调度模型。该项目的成果包括分布式进化计算框架、差异进化算法和协作式协同进化策略。结果将通过对公共数据集的实际评估和与相关工作的比较来验证。该项目无论在人工智能技术理论方面，还是在实际交通系统的应用方面，都对国家有利。

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.