Learning Assisted Intelligent Optimization and Scheduling: Theory, Algorithms and Applications
Learning assisted intelligent optimization and scheduling is a hot topic in recent years. This session focuses on the theory, algorithms and applications of learning assisted intelligent optimization and scheduling. It aims specifically at the most recent developments of swarm intelligence, evolutionary algorithms, meta-heuristics, ensemble with machine learning algorithms, and applications for various complex scheduling and optimization problems in engineering and service fields.
Guest editors:
Prof. Kaizhou Gao, Macau University of Science and Technology, China
Prof. Zhiguang Cao, Singapore Management University, Singapore
Dr. Yaping Fu, Qingdao University, China
Dr. Wen Song, Shandong University, China
Dr. Yaoxin Wu, Eindhoven University of Technology, the Netherlands
Special issue information:
◆Learning assisted multi-objective, multi-task, and multi-constraint optimization
◆ Learning assisted large-scale global optimization
◆ Ensemble swarm and evolutionary algorithms with machine learning algorithms
◆ Learning-based meta-heuristics
◆ Learning assisted intelligent optimization algorithms for
Production scheduling problems
Energy-efficiency scheduling problems
Traffic signal control, optimization, and scheduling
Vehicle routing problems
Unmanned vehicles/unmanned surface vessels task assignment and routing planning
Project scheduling
Grid/cloud scheduling
Scheduling and optimization in smart city
Scheduling and optimization in smart building and home
Scheduling and optimization in sustainability systems
Scheduling and optimization in various service industries
◆ Clustering, classification and prediction based intelligent optimization
◆ New real-world and innovative applications of ensemble intelligent optimization with machine learning algorithms
Manuscript submission information:
Manuscript Submission Deadline: 31/12/2024
You are invited to submit your manuscript at any time before the submission deadline. For any inquiries about the appropriateness of contribution topics, please contact the executive guest editor:
Prof. Kaizhou Gao, kzgao@must.edu.mo
The journal’s submission platform (https://www.editorialmanager.com/swevo/default.aspx) is now available for receiving submissions to this Special Issue. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI:SWEVO_ Intelligent Optimization and Scheduling” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage here: https://www.sciencedirect.com/journal/swarm-and-evolutionary-computation
Keywords:
Artificial Intelligence
Intelligent Optimization Theory, Method and Application
Reinforcement Learning
Complex Systems Modeling, Optimization and Scheduling
Intelligent Transportation
Intelligent Manufacturing
Smart City
Swarm and Evolutionary Computation的CAR指数
2023年3月份科睿唯安官方一次性踢除35本SCI期刊，多数涉及学术诚信问题，让我们意识到学术期刊的“被踢”指数，也很重要。目前，对于期刊的“被踢”指数，这里介绍一下：CAR指数（关于CAR的详细介绍，请关注：www.jcarindex.com），这是一种评价期刊学术诚信风险的指数，指数越高代表可能的风险越大。从数据看，Swarm and Evolutionary Computation不管是2022年度，还是2023年度的CAR指数，都是比较低的。当然，CAR指数仅供参考，期刊风险情况，需以科睿唯安或中科院预警等官方为准！
让推送更美好~
