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Our Institute warmly welcomes our distinguished guest Prof. Dr. Rolf H. Möhring from the Fachgebiet Kombinatorische Optimierung und Graphenalgorithmen (COGA) of the Institut für Mathematik at the Technische Universität Berlin (TUB) in Berlin, Germany. Prof. Möhring will stay with us for a short research visit from June 5 to 8, 2018. During his stay, he gave the research talk on "Dynamic Network Routing: Meeting the Challenge of Complex Traffic and Transportation Tasks" and conducted joint research with our Dr. Zijun Wu.

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R is a powerful and efficient programming language for statistics, modeling, and data mining. Here I want to provide a quick note on the question "How do I get the name of a function in R?".

Consider the scenario where you write a function myFun in the form of <- function(f) { … } that accepts another function f as parameter and computes something. Maybe your computation takes a lot of time, so you want to output some logging information which contains the name of the function f as well, so the reader can see what is going on. Or maybe you want to generate a report with the results from several functions, so you want the "function names" to be the section titles of the report. Getting the name of a function (or any object) in R is actually quite tricky. Here I discuss a working approach.

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Today, I had the honor to attend the World Manufacturing Convention 2018 [世界制造业大会], taking place from April 24 to 26, 2018, here in Hefei [合肥], Anhui [安徽], China. The event follows the motto Shaping the Future of Manufacturing and is under the co-chairmanship of Christian Wulff, the former President of Germany, Jean-Pierre Raffarin, the former Prime Minister of the French Republic, Ban Ki-moon, the former Secretary-General of the United Nations, who all also give keynote speeches, as well as the Party Secretary and the Governor of the Province Anhui, amongst others. The convention is organized by by the Anhui Provincial Government, the United Nations Industrial Development Organization (UNIDO), the Global Alliance of SMEs (GASME), and the Chinese People's Association for Friendship with Foreign Countries [中国人民对外友好协会]. The conference is attented by representatives from 70 countries and from several Fortune 500 companies, such as Volkswagen, HP, General Motors and Microsoft. The goal is to discuss topics revolving around smart manufacturing, such as artificial intelligence, operations research, the Internet of Things (IOT), and robotics, but also smart homes and consumer goods.

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Today, I had the honor and pleasure to chair the International Workshop on Benchmarking of Computational Intelligence Algorithms (BOCIA) at the Tenth International Conference on Advanced Computational Intelligence (ICACI 2018), which took place from March 29 to 31, 2018 in Xiamen [厦门], Fujian [福建省], China. Our program was packed with seven very interesting presentations on the field, each of which discussing another aspect or application where algorithm performance was mined using modern statistics. Even after working on this field for several years, the ideas proposed today were still novel to me and I found the presentations quite inspiring. Indeed, each presentation led to an exciting discussion, so the workshop could indeed become a platform for the exchange of thoughts.

I want to wholeheartedly thank all of our authors for their research contributions and insightful presentations and the audience for their valuable comments and discussions. It should be mentioned that our workshop was the very last session at ICACI, yet was attended very well. This also speaks for the great organization of ICACI, whose chairs managed to attract several top-level keynote and tutorial presenters and an audience who deeply cares about research on Computational Intelligence. Of course, I would also like to thank my co-chairs and the our program committee, without whom organizing our workshop would have been impossible.

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The Black-Box Discrete Optimization Benchmarking Workshop (BB-DOB@GECCO), a part of the Genetic and Evolutionary Computation Conference (GECCO 2018) has been extended to April 3, 2018. This means that there is one more week to submit your original research on benchmarking of discrete optimizers. The deadlines for acceptance notification and for the submission of the final versions of the accepted papers have not been changed. The GECCO conference takes place on July 15-19, 2018, in Kyoto, Japan (http://gecco-2018.sigevo.org/).

The Black-Box-Optimization Benchmarking (BBOB) methodology introduced by the long-standing and successful BBOB-GECCO workshops series has become a well-established standard for benchmarking continuous optimization algorithms. The aim of this workshop is to develop a similar standard methodology for the benchmarking of black-box optimization algorithms for discrete and combinatorial domains. The goal of this first edition of the BB-DOB workshop series is to define a suitable set of benchmark functions for discrete and combinatorial optimization problems.

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