Monthly Archives: July 2020

Evolutionary Computation Digest — Sunday, 26 July 2020, Volume 34: Issue 8

EC Digest is available here:;ee852d34.2007

Today’s Topics:
– BibTeX for GECCO 2020
– Winners of the 2020 Humies Human-Competitive Awards

CFPs (with submission deadline)
– 01 August (Extended): Theory and Practice of Natural Computing
(Taoyuan, Taiwan)
– 07 August: Game Benchmark Competition @ PPSN 2020
– 01 November: EvoCOP @ EvoStar 2021 (Seville)
– 01 November: EuroGP @ EvoStar 2021 (Seville)
– 31 January, 2021: IEEE Congress on Evolutionary Computation (Kraków)

IDE+A Vortrag zu ‘Time Series Missing Data Visualization’ auf useR! Conference 2020

Unter normalen Umständen hätte die useR! Conference, die weltgrößte Konferenz für die Anwender der Statistiksprache R, dieses Jahr zum ersten mal parallel an zwei Standorten (St. Louis, USA und München) stattfinden sollen.

Stattdessen gab es aufgrund der von COVID-19 bedingten Umstände eine andere Art von Premiere – ein rein virtuelles Format. Das von Prof. Dr. Thomas Bartz-Beielstein geleitete Institut IDE+A  hat einen interessanten Vortrag zu “Visualization of missing data and imputations in time series” beigesteuert. Steffen Moritz ging in dem Vortrag auf neueste Entwicklungen im Bereich Visualisierung von fehlenden Messwerten in Zeitserien ein. Insbesondere auch auf die Möglichkeiten, die das imputeTS R Paket in diesem Bereich bietet.

Alle Vorträge der diesjährigen useR! sind auf dem Youtube Channel des R-Consortium online verfügbar.

30th Workshop “Computational Intelligence” – Deadline verlängert

Aufgrund der besonderen Situation wird die Deadline zum Einreichen der Kurzbeiträge für den “30th Workshop Computational Intelligence”, Berlin, 26. – 27. November 2020 auf den 31.7.2020 verlängert.

Die restliche Terminkette bleibt davon unberührt:

31. Juli 2020                          –    Kurzfassung der Beiträge (1 Seite)   (verlängert)
16. August 2020                    –    Benachrichtigung der Autoren
25. September 2020            –    Langfassung der Beiträge (4-20 Seiten) und Anmeldefrist
25. November 2020             –    Anreise
26.-27. November 2020       –     Workshop 

First Call for Papers: EvoCOP 2021 – The 21st European Conference on Evolutionary Computation in Combinatorial Optimisation

April 7 – 9, 2021Seville, Spain held as part of EvoStar (
Submission deadline: November 1, 2020
The 21st European Conference on Evolutionary Computation in Combinatorial Optimisation is a multidisciplinary conference that brings together researchers working on applications and theory of evolutionary computation methods and other metaheuristics for solving difficult combinatorial optimisation problems appearing in various industrial, economic, and scientific domains.

**** Important Dates ****
Submission deadline: November 1, 2020

EvoStar: April 7-9, 2021

New on arXiv: “Benchmarking in Optimization: Best Practice and Open Issues”

The most recent version of the article “Benchmarking in Optimization: Best Practice and Open Issues”, which was written by Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel Lopez-Ibanez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, and Thomas Weise can be downloaded from arXiv

Survey “Benchmarking in Optimization: Best Practice and Open Issues” available

This survey compiles ideas and recommendations from more than a dozen
researchers with different backgrounds and from different institutes around the
world. Promoting best practice in benchmarking is its main goal. The article
discusses eight essential topics in benchmarking: clearly stated goals, well-
specified problems, suitable algorithms, adequate performance measures,
thoughtful analysis, effective and efficient designs, comprehensible
presentations, and guaranteed reproducibility. The final goal is to provide
well-accepted guidelines (rules) that might be useful for authors and
reviewers. As benchmarking in optimization is an active and evolving field of
research this manuscript is meant to co-evolve over time by means of periodic

The PDF version of this survey is available here and will be published on arXiv soon.

SPOT: Sequential Parameter Optimization Toolbox Version 2.0.6 is available on CRAN

SPOT is a set of tools for model based optimization and tuning of algorithms. It includes surrogate models, optimizers and design of experiment approaches. The main interface is spot, which uses sequentially updated surrogate models for the purpose of efficient optimization. The main goal is to ease the burden of objective function evaluations, when a single evaluation requires a significant amount of resources. The package can be downloaded here:

Great news – SPOTSeven is up again!

Due to many requests, SPOTSeven will be up again. This is a test post to check the technical functionality. We updated the software (Ubuntu, WordPress) and will check further tools. Stay tuned – news will follow soon!