祝贺实验室的论文 ”A Hyperheuristic Approach for Intercell Scheduling with Single Processing Machines and Batch Processing Machines” 被SCI期刊IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS (影响因子：2.123) 录用。

论文的摘要以及作者简介如下：

A Hyperheuristic Approach for Intercell Scheduling with Single Processing Machines and Batch Processing Machines

Abstract——Intercell transfers in cellular manufacturing systems (CMS) disrupt the philosophy of creating independent cells, but are essential for enterprises to reduce the production cost. The problem of intercell scheduling with single processing machines and batch processing machines is considered in this paper, which involves assignment subproblem, sequencing subproblem and batch formation subproblem. An ant colony optimization (ACO) based hyperheuristic (ABH) is developed in this paper, searching assignment rules for parts, sequencing rules for single processing machines, and batch formation rules for batch processing machines, simultaneously, and then using the obtained combinatorial rules to generate scheduling solutions. Computational results show that ABH is an effective and significantly efficient approach to provide near-optimum solutions even when CPLEX shows poor performance, and as compared to genetic algorithm (GA) that is widely used in hyperheuristics, ABH has better performance with respect to the problem addressed in this paper.

Dongni Li received the B.S. and Ph.D. degrees in computer science from Northeastern University, Shenyang, China, in 2000 and 2005, respectively. From 2010 to 2011, she was a postdoctoral researcher with the School of Operations Research and Information Engineering, Cornell University, Ithaca, NY.

She is currently an Associate Professor with the School of Computer Science, Beijing Institute of Technology. She is also a faculty member with the Beijing Key Lab of Intelligent Information Technology. Her research interests include intelligent decision-making approaches and their applications to the manufacturing industry.

Xianwen Meng received the B.S. degree in computer science from Beijing Institute of Technology, Beijing, China, in 2012.

Since 2012, he has been a graduate student for the M.E. degree with the major of computer technology, Beijing Institute of Technology. His research interests include swarm intelligence and production scheduling.

Miao Li received the B.S. degree in computer science from Beijing Institute of Technology, Beijing, China, in 2013.

Since 2013, he has been a graduate student for the M.S. degree with the School of Computer Science, Beijing Institute of Technology. His research interests include heuristic-based optimization approaches.

Yunna Tian received the M.S. in computer science from Xidian University, Shaanxi, China, in 2010.

From 2003 to 2012, she was a faculty member with the College of Mathematics & Computer Science, Yan’an University. Since 2012, she has been a graduate student for the Ph.D. degree with the School of Computer Science, Beijing Institute of Technology. Her research interest includes production scheduling and optimization approaches.

（审核：李冬妮）