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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 Consulate General of Germany in Shanghai supports German companies and researchers from the provinces Anhui, Jiangsu, and Zhejiang by organizing a German Science Circle which meets in Shanghai. These meetings are always very interesting and good opportunities for exchanging thoughts. Today, I attended such a meeting with the focus on the collaboration of Max Planck Institutes [MPG] with Chinese groups and researchers. Two top-level researchers, Professor Dr. Klaus Müllen, Director of the Max Planck Institute for Polymer Research in Mainz and Professor Dr. Markus Antonietti, Director of the Max Planck Institute for Colloids and Interfaces in Potsdam-Golm, gave their thoughts in impulse talks about "Joint Innovation and Technology". Here I want to summarize what I learned at this meeting and add a few thoughts.

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Call for Papers Call for Papers

Fifteenth International Conference on Parallel Problem Solving from Nature (PPSN XV)

September 8-9, 2018 in Coimbra, Portuga
http://iao.hfuu.edu.cn/bbdob-ppsn18

 

The Black-Box Discrete Optimization Benchmarking Workshop (BB-DOB@PPSN), a part of the Fifteenth International Conference on Parallel Problem Solving from Nature (PPSN XV), is cordially inviting the submission of original and unpublished research papers. Here you can download the BB-DOB@PPSN Workshop Call for Papers (CfP) in PDF format and here as plain text file.

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. We want to produce:

  1. a well-motivated benchmark function testbed,
  2. a standardized experimental set-up,
  3. rules for measuring and the generation of data output, and
  4. standardized post-processing and presentations for the results in graphs and tables.

The accepted papers in this workshop will NOT be included in the conference proceedings. This workshop has no proceedings. Authors of selected papers will be invited to submit extended versions of these papers to the Special Issue on Benchmarking of Computational Intelligence Algorithms in the Applied Soft Computing journal by Elsevier B.V., indexed by EI and SCIE. Here you can download the Special Issue Call for Papers (CfP) in PDF format and here as plain text file..

Disclaimer: Two BB-DOB workshops will take place in 2018, i.e., the first edition as BB-DOB@GECCO and the second edition as BB-DOB@PPSN. Both are independent events of the same series.

For more information please contact Pietro S. Oliveto at This email address is being protected from spambots. You need JavaScript enabled to view it..

This workshop is organized as part of the ImAppNIO Cost Action 15140.

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Call for Papers Call for Papers

2018 Genetic and Evolutionary Computation Conference (GECCO 2018)

July 15-19, 2018 in Kyoto, Japan
http://iao.hfuu.edu.cn/bbdob-gecco18

 

The Black-Box Discrete Optimization Benchmarking Workshop (BB-DOB@GECCO), a part of the Genetic and Evolutionary Computation Conference (GECCO 2018), had been cordially inviting the submission of original and unpublished research papers (and six papers were accepted). Here you can download the BB-DOB@GECCO Workshop Call for Papers (CfP) in PDF format and here as plain text file. The workshop was held on July 16, 2018, at the GECCO 2018 conference in Kyoto, Japan.

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. We want to produce:

  1. a well-motivated benchmark function testbed,
  2. a standardized experimental set-up,
  3. rules for measuring and the generation of data output, and
  4. standardized post-processing and presentations for the results in graphs and tables.

All accepted papers in this workshop will be included in the Companion Material Proceedings of the Genetic and Evolutionary Computation Conference 2018 published by ACM and indexed by EI. Authors of selected papers will be invited to submit extended versions of these papers to the Special Issue on Benchmarking of Computational Intelligence Algorithms in the Applied Soft Computing journal by Elsevier B.V., indexed by EI and SCIE. Here you can download the Special Issue Call for Papers (CfP) in PDF format and here as plain text file.

Disclaimer: Two BB-DOB workshops will take place in 2018, i.e., the first edition as BB-DOB@GECCO and the second edition as BB-DOB@PPSN. Both are independent events of the same series.

For more information please contact Pietro S. Oliveto at This email address is being protected from spambots. You need JavaScript enabled to view it..

This workshop is organized as part of the ImAppNIO Cost Action 15140.

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