On July 28, 2017, I gave my research talk Automating Scientific Research in Optimization at the Enterprise Application Development (EAD) group of Prof. Dr. Jörg Lässig at the Faculty of Electrical Engineering and Computer Science of the University of Applied Sciences Zittau/Görlitz (HZG, Hochschule Zittau/Görlitz) in the historical city of Görlitz, Germany, directly next to the border to Poland. Prof. Lässig is an old friend, from the same university, and we have collaborated on numerous joint projects.
The EAD group is interested in all aspects of enterprise application development. Their leading topics are Energy Efficiency, i.e., supporting companies, users, and even energy providers to measure and reduce energy consumption, and Computational Sustainability, i.e., sustainable information technologies and applications beyond Green IT paradigm, as it covers both technologies for more simple, effective, scalable, robust, adaptable and enhanced software solutions as well as improvements towards more sustainable processes, services and products. The group follows several directions in these contexts, such as:
- Sustainability in Enterprise IT: Enterprise Information Systems, IT Service Management, Enterprise Application Integration, Middleware and Enterprise Service Bus Solutions
- Green Information Systems: Auctions and Electronic Markets, Energy Efficiency, Demand Side Integration, Carbon Footprints
- Logistics and Supply: Enterprise Co-operations, Production Flows, Supply Chains, Virtual Enterprises
- Business Intelligence: Data Analysis, Reporting, Privacy Aspects, Enterprise Analytics
The group collaborates with several companies, such as the European Aeronautic Defence and Space Company, the Bosch Rexroth AG, the CBS Information Technologies AG, the Rapid-I GmbH, Saxonia Systems, ARC Solutions and Deutsche Software & Research. They are a truly unique group which combine strong fundamental and applied research. We have many common interests, for instance on the field of logistics and optimized management, as can be seen from our collaboration history.
Like my visit last year, it was a very, very pleasant experience to visit Jörg's group. The audience was again unusually big, especially for the current vacation time, and the discussions following my talk were both enlightening and interesting.
Joint Research Works
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
Tianyu Liang, Zhize Wu, Jörg Lässig, Daan van den Berg, and Thomas Weise. Solving the Traveling Salesperson Problem using Frequency Fitness Assignment. In Hisao Ishibuchi, Chee-Keong Kwoh, Ah-Hwee Tan, Dipti Srinivasan, Chunyan Miao, Anupam Trivedi, and Keeley A. Crockett, editors, Proceedings of the IEEE Symposium on Foundations of Computational Intelligence (IEEE FOCI'22), part of the IEEE Symposium Series on Computational Intelligence (SSCI 2022). December 4–7, 2022, Singapore, pages 360–367. IEEE.
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