Our institute welcomes Prof. Dr. Jörg Lässig and Mr. Markus Ullrich for a research stay from November 19 to 26, 2017, at our group. Prof. Lässig is the head of the Enterprise Application Development (EAD) group of the Faculty of Electrical Engineering and Computer Science of the University of Applied Sciences Zittau/Görlitz (HZG, Hochschule Zittau/Görlitz), located in Görlitz, Germany and of a IT security group with the Fraunhofer Society. Mr. Ullrich is a PhD student under his co-supervision and researcher at the EAD group.
Between our team and the EAD group exists a history of collaboration dating back quite a few years. Together, we have analyzed several classical optimization problems from logistics and scheduling, including scheduling against due dates and windows as well as the Traveling Salesman Problem (TSP). We also jointly contributed works on Evolutionary Computational in general. An important aspect of our work always the benchmarking of optimization algorithms. We work together on the TSP Suite, a framework for implementing and comparing algorithms for the TSP. Delegations from the EAD have visited us in China already in 2013 and 2015, while Prof. Weise visited the EAD in 2016 and 2017.
It therefore is a particular pleasure to be able to host Jörg and Markus at our group, especially since they both also gave presentations on the state-of-the-art developments in their fields:
- "An Application Meta-Model to Support the Execution and Benchmarking of Scientific Applications in Multi-Cloud Environments" by Mr. Markus Ullrich, 2017-11-21 14:00, building 35, room 308 [poster]
- "Understanding Quantum Computing - Computing Model and Algorithms" by Prof. Dr. Jörg Lässig, 2017-11-21 15:10, building 35, room 308 [poster]
Prof. Dr. Jörg Lässig is a Full Professor at the Department of Computer Science at the University of Applied Sciences Zittau/Görlitz (HSZG). He studied Computer Science and Computational Physics and received his Ph.D. for work on efficient algorithms and models for the generation and control of cooperation networks at Chemnitz University of Technology. As postdoc he worked in projects at the International Computer Science Institute at Berkeley, California and at the Università della Svizzera italiana in Lugano, Switzerland. His EAD research group at HSZG and his IT security group with the Fraunhofer Society are focusing on topics concerned with intelligent data driven technologies for state-of-the-art IT infrastructures and services. Prof. Lässig is also a co-chair of our International Workshop on Benchmarking of Computational Intelligence Algorithms (BOCIA) and a co-guest editor of the Special Issue on Benchmarking of Computational Intelligence Algorithms in the Computational Intelligence Journal with Profs. Thomas Weise, Bin Li (USTC), Markus Wagner (University of Adelaide, Australia) and Xingyi Zhang (Anhui University).
Mr. Markus Ullrich is currently a PhD student at Technische Universität Chemnitz and a research associate at the University of Applied Sciences Zittau/Görlitz where he received his M.S. and B.S. in Computer Science in 2012 and 2010 respectively. From 2009 to 2012, he worked as a software developer for the Decision Optimization GmbH where he developed and tested data mining algorithms for predictive maintenance. He spent three months at the National Institute of Informatics in Tokyo, Japan during an internship where he worked on the modeling of applications and resources in cloud environments. His current research interests are data mining and cloud computing as well as the simulation and modeling of complex distributed systems.
Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen, and Jörg Lässig. Frequency Fitness Assignment: Optimization without Bias for Good Solutions can be Efficient. IEEE Transactions on Evolutionary Computation (TEVC). 2022. Early Access.
doi:10.1109/TEVC.2022.3191698 / preprint@arxiv / data and source code @ doi:10.5281/zenodo.5567725.
Indexing: SCI, EI, 1区, CCF-B类
Thomas Weise, Markus Wagner, Bin Li, Xingyi Zhang, and Jörg Lässig. Special Issue on Benchmarking of Computational Intelligence Algorithms in the Applied Soft Computing Journal (Editorial). Applied Soft Computing Journal (ASOC) 93:106502. August 2020.
Indexing: EI, WOS, ESCI, 1区
Thomas Weise, Bin Li, Markus Wagner, Xingyi Zhang, and Jörg Lässig, eds. Special Issue on Benchmarking of Computational Intelligence Algorithms published in the Applied Soft Computing journal published by Elsevier B.V. and indexed by EI and SCIE. The special issue was open for submissions from July 2018 and closed in April 14, 2019. It is a virtual special issues, where papers will be published as soon as they are accepted.
website / CfP-website / Call for Papers (CfP)
Markus Ullrich, Thomas Weise, Abhishek Awasthi, and Jörg Lässig. A Generic Problem Instance Generator for Discrete Optimization Problems. In Black Box Discrete Optimization Benchmarking (BB-DOB) Workshop of Companion Material Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2018), July 15th-19th 2018, Kyoto, Japan, pages 1761-1768, ISBN: 978-1-4503-5764-7. ACM.
doi:10.1145/3205651.3208284 / pdf / slides / source codes / workshop website
Indexing: EI, CCF-C类
Thomas Weise, Bin Li, Markus Wagner, Xingyi Zhang, and Jörg Lässig. International Workshop on Benchmarking of Computational Intelligence Algorithms (BOCIA) at the Tenth International Conference on Advanced Computational Intelligence (ICACI 2018), March 29-31, 2018 in Xiamen [厦门], Fujian [福建省], China, IEEE, ISBN: 978-1-5386-4362-4.
website / Call for Papers (CfP)
Abhishek Awasthi, Jörg Lässig, Thomas Weise, and Oliver Kramer. Tackling Common Due Window Problem with a Two-Layered Approach. In Proceedings of the 10th International Conference on Combinatorial Optimization and Applications (COCOA 2016), Hong Kong, China, December 16–18, 2016, volume 10043 of Lecture Notes in Computer Science book series (LNCS), pages 772-781, Cham, Switzerland: Springer. ISBN: 978-3-319-48748-9 (print), 978-3-319-48749-6 (online)
Thomas Weise, Yuezhong Wu, Raymond Chiong, Ke Tang, and Jörg Lässig. Global versus Local Search: The Impact of Population Sizes on Evolutionary Algorithm Performance. Journal of Global Optimization 66(3):511-534, November 2016.
doi:10.1007/s10898-016-0417-5 / pdf
Indexing: EI:20160902030834, WOS:000386373700007, SCI, 2区
Abhishek Awashi, Jörg Lässig, Jens Leuschner, and Thomas Weise. GPGPU-based Parallel Algorithms for Scheduling Against Due Date. In Proceedings of 6th IEEE Workshop on Parallel Computing and Optimization (PCO'16), Chicago, IL, USA, May 23-27, 2016, pages 766-775. Piscataway, NJ, USA: IEEE Computer Society. ISBN: 978-1-5090-3682-0
doi:10.1109/IPDPSW.2016.66 / pdf
Indexing: EI:20164302934880, WOS:000391253600089
Dan Xu, Thomas Weise, Yuezhong Wu, Jörg Lässig, and Raymond Chiong. An Investigation of Hybrid Tabu Search for the Traveling Salesman Problem. In Proceedings of the 10th International Conference on Bio-Inspired Computing – Theories and Applications (BIC-TA'15), Maoguo Gong, Linqiang Pan, Tao Song, Ke Tang, and Xingyi Zhang, editors, September 25-28, 2015, Hefei, Anhui, China, volume 562 of Communications in Computer and Information Science. Berlin/Heidelberg: Springer-Verlag, pages 523-537, ISBN 978-3-662-49013-6.
doi:10.1007/978-3-662-49014-3_47 / pdf
Indexing: EI:20160300001756, WOS:000369890300047
Yan Jiang, Thomas Weise, Jörg Lässig, Raymond Chiong, and Rukshan Athauda. Comparing a Hybrid Branch and Bound Algorithm with Evolutionary Computation Methods, Local Search and their Hybrids on the TSP. In Proceedings of the IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS'14), Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI'14), Orlando, FL, USA: Caribe Royale All-Suite Hotel and Convention Center, December 9-12, 2014, pages 148-155. Los Alamitos, CA, USA: IEEE Computer Society Press. ISBN 978-1-4799-5375-2.
doi:10.1109/CIPLS.2014.7007174 / pdf
Indexing: EI:20150700522268, WOS:000380487400021
Abhishek Awasthi, Jörg Lässig, Oliver Kramer, and Thomas Weise. Common Due-Window Problem: Polynomial Algorithms for a Given Processing Sequence. In Proceedings of the IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS'14), Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI'14), pages 32-39, Orlando, FL, USA: Caribe Royale All-Suite Hotel and Convention Center, December 9–12, 2014. Los Alamitos, CA, USA: IEEE Computer Society Press.
doi:10.1109/CIPLS.2014.7007158 / pdf
Indexing: EI:20150700522279, WOS:000380487400005
Thomas Weise and Jörg Lässig. Special Session on Benchmarking and Testing for Production and Logistics Optimization of the 2014 IEEE Symposium on Computational Intelligence in Production and Logistics at the 2014 IEEE Symposium Series on Computational Intelligence (SSCI 2014), December 9-12, 2014, Orlando, Florida, USA
Thomas Weise, Raymond Chiong, Ke Tang, Jörg Lässig, Shigeyoshi Tsutsui, Wenxiang Chen, Zbigniew Michalewicz, and Xin Yao. Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem. IEEE Computational Intelligence Magazine (CIM), 9(3):40-52, August 2014.
Featured article and selected paper at the website of the IEEE Computational Intelligence Society (http://cis.ieee.org/).
doi:10.1109/MCI.2014.2326101 / pdf
Indexing: EI:20143117995681, WOS:000340271800004, SCI, 1区, Google Scholar
Thomas Weise, Jörg Lässig, Alexandre Devert, and Yi Mei. Special Session on Scalable Evolutionary Logistic Planning (SELP) of the 2013 IEEE Symposium on Computational Intelligence in Production and Logistics at the 2013 IEEE Symposium Series on Computational Intelligence (SSCI 2013), April 15-19, 2013, Grand Copthorne Waterfront Hotel, Singapore