@inproceedings{fe9b3bb4449b4472b7924e41ab43c101,
title = "Automated Planning and Scheduling with Swarm Intelligence",
abstract = "Automated planning and scheduling aims to design intelligent algorithms that could allocate resources for solving a given planning and scheduling problem and meet specific purposes. The current status of swarm intelligence on planning and scheduling tasks is discussed and the challenges of swarm intelligence and automated planning algorithms design are analyzed in this paper. Interpretability is the foundation of understanding problems{\textquoteright} properties and algorithms{\textquoteright} search behaviors. The interpretability of algorithms is discussed from interpretable processes and interpretable results. Based on the interpretability analysis, swarm intelligence{\textquoteright}s evolution and learning ability could design the automated algorithm.",
keywords = "Automated planning, Evolutionary computation, Large language models, Scheduling and planning, Swarm intelligence",
author = "Shi Cheng and Hui Lu and Xiujuan Lei",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 15th International Conference on Swarm Intelligence, ICSI 2024 ; Conference date: 23-08-2024 Through 26-08-2024",
year = "2024",
doi = "10.1007/978-981-97-7184-4\_3",
language = "英语",
isbn = "9789819771837",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "26--35",
editor = "Ying Tan and Yuhui Shi",
booktitle = "Advances in Swarm Intelligence - 15th International Conference on Swarm Intelligence, ICSI 2024, Proceedings",
address = "德国",
}