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Senior Lecturer Dr. Markus Wagner from the Optimisation and Logistics Group of the School of Computer Science of The University of Adelaide, SA, Australia presented the research talk "Two Real-World Optimisation Problems Related to Energy" on Thursday, October 26, 2017, at 15:00 in Hefei University [合肥学院] in the Meeting Room of the Faculty of Computer Science and Technology, Building 36, 3rd Floor, Room 305 [合肥学院 计算机科学与技术系 合肥市 230601蜀山区 经济技术开发区 南2区/南艳湖校区 锦绣大道99号 36栋 305会议室]. There was quite a big audience for the talk, both from HFUU members as well as other researchers from Hefei. [poster, slides (android energy consumption), slides (wave energy)]

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On Wednesday, October 25, 2017 from 09:30 to 10:20, I presented my research talk "Automating Scientific Research in Optimization" in Anhui University (AHU) [安徽大学], Conference Hall on the First Floor below of the Xingzhi Building [安徽大学磬苑校区行知楼负一楼报告厅] at the Symposium on Evolutionary Computation [进化计算领域专家系列学术报告会] under the organization of Professors Xingyi Zhang (Anhui University) and Bin Li (USTC) for the IEEE CIS Hefei Chapter. The talk followed the presentation "Approximation-Guided Many-Objective Optimisation and the Travelling Thief Problem" by our guest researcher Dr. Markus Wagner, Senior Lecturer from the Optimisation and Logistics Group of the School of Computer Science of The University of Adelaide, Australia and, in turn, was followed by the talk "Species-based PSO for Continuous Dynamic Constrained Optimization" by Associate Prof. Dr. Wenjian Luo (USTC). All talks are open for any interested audience. [poster, slides]

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Senior Lecturer Dr. Markus Wagner from the Optimisation and Logistics Group of the School of Computer Science of The University of Adelaide, SA, Australia presented the research talk "Approximation-Guided Many-Objective Optimisation and the Travelling Thief Problem" on Wednesday, October 25, 2017 from 08:40 to 09:30 in Anhui University (AHU) [安徽大学], Conference Hall on the First Floor below of the Xingzhi Building [安徽大学磬苑校区行知楼负一楼报告厅] at the Symposium on Evolutionary Computation [进化计算领域专家系列学术报告会] under the organization of Professors Xingyi Zhang (Anhui University) and Bin Li (USTC) for the IEEE CIS Hefei Chapter. The talk is followed by the talks "Automating Scientific Research in Optimization" by Prof. Weise and "Species-based PSO for Continuous Dynamic Constrained Optimization" by Associate Prof. Dr. Wenjian Luo (USTC). The audiences of all presented talks were quite big and interesting discussions ensued. [poster, slides]

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Our institute welcomes Dr. Markus Wagner, Senior Lecturer from the Optimisation and Logistics Group of the School of Computer Science of The University of Adelaide, SA, Australia, for a research visit from October 24 to November 2. His stay is supported by the Australia-China Young Scientists Exchange Program 2017 (YSEP) [中澳青年科学家交流计划] organized by the China Science and Technology Exchange Center (CSTEC) [中国科学技术交流中心] and the Australian Academy of Technology and Engineering (ATSE).

The members of the Optimisation and Logistics Group in Adelaide research optimization methods that are frequently used to solve hard and complex optimization problems. These include linear programming, branch and bound, genetic algorithms, evolution strategies, genetic programming, ant colony optimization, local search, and others. The areas of interest of Dr. Wagner are heuristic optimization and applications thereof. His work draws on computational complexity analysis and on performance landscape analysis.

Dr. Wagner and the members of our institute will spend most of his visiting time on joint research and on developing future joint projects and collaborations. Additionally, he will visit our colleagues Bin Li at USTC and Xingyi Zhang at Anhui University and give two presentations open for any interested listeners:

  1. Approximation-Guided Many-Objective Optimisation and the Travelling Thief Problem in Anhui University (AHU) [安徽大学] and co-invited by the IEEE CIS Hefei Chapter [slides]
  2. Two Real-World Optimisation Problems Related to Energy at our group [slides (android energy consumption), slides (wave energy)]

Short Biography

Portrait of Senior Lecturer Dr. Markus WagnerDr. Markus Wagner is a Senior Lecturer at the School of Computer Science, University of Adelaide, Australia. He has done his PhD studies at the Max Planck Institute for Informatics in Saarbrücken, Germany and at the University of Adelaide, Australia. His research topics range from mathematical runtime analysis of heuristic optimization algorithms and theory-guided algorithm design to applications of heuristic methods to renewable energy production, professional team cycling and software engineering. So far, he has been a program committee member 30 times, and he has written over 70 articles with over 70 different co-authors. He has chaired several education-related committees within the IEEE CIS, is Co-Chair of ACALCI 2017 and General Chair of ACALCI 2018. Dr. Wagner 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), Xingyi Zhang (Anhui University), and Jörg Lässig (University of Applied Sciences Zittau/Görlitz).

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Cover of the Computational Intelligence journal.Today, our application for a Special Issue on Benchmarking of Computational Intelligence Algorithms was accepted by the Computational Intelligence journal published by Wiley Periodicals, Inc., and indexed by SCI and EI. Here you can download the Call for Papers (CfP) of the Special Issue in PDF format and here as plain text file.

Computational Intelligence (CI) is a huge and expanding field which is rapidly gaining importance, attracting more and more interests from both academia and industry. It includes a wide and ever-growing variety of optimization and machine learning algorithms, which, in turn, are applied to an even wider and faster growing range of different problem domains. For all of these domains and application scenarios, we want to pick the best algorithms. Actually, we want to do more, we want to improve upon the best algorithm. This requires a deep understanding of the problem at hand, the performance of the algorithms we have for that problem, the features that make instances of the problem hard for these algorithms, and the parameter settings for which the algorithms perform the best. Such knowledge can only be obtained empirically, by collecting data from experiments, by analyzing this data statistically, and by mining new information from it. Benchmarking is the engine driving research in the fields of optimization and machine learning for decades, while its potential has not been fully explored. Benchmarking the algorithms of Computational Intelligence is an application of Computational Intelligence itself! This special issue of the EI/SCI-indexed Computational Intelligence journal published by Wiley Periodicals Inc. solicits novel contributions from this domain.

We are holding the International Workshop on Benchmarking of Computational Intelligence Algorithms (BOCIA) on the same topic at the Tenth International Conference on Advanced Computational Intelligence (ICACI 2018) from March 29-31, 2018 in Xiamen, China (submission deadline: December 1, 2017). Authors of selected papers of this workshop will be invited to submit extended versions of these papers to the special issue, but the special issue is also open to submissions unrelated to the workshop. Here you can download the Call for Papers (CfP) of the BOCIA Workshop in PDF format and here as plain text file.

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