32nd EUROPEAN Conference on Modelling and Simulation

ISSN 2522-2422 (ONLINE) - ISSN 2522-2414 (Print) - ISSN 2522-2430 (CD-ROM)

ECMS 2018
                     

May 22nd - May 25th, 2018
Wilhelmshaven, Germany

 

Keynote speakers

ECMS papers are listed in DBLP, SCOPUS, ISI, INSPEC and DOI


 Jade Hochschule of Applied Science Wilhelmshaven
©Jade
University

 

Banter See, Haven, Part of the city
©Jade University

 

Kaiser -Wilhelm-Bridge
©J
ens Werner

 

Kaiser -Wilhelm-Bridge
©J
ens Werner

 

            

Kaiser -Wilhelm-Bridge
©J
ens Werner

 

 

 

 

 

 

 

 

 

We are happy to announce our keynote speaker

 

Thomas Bäck

 

Thomas Bäck is full professor of computer science at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University, The Netherlands, since 2004.

He received his PhD in Computer Science (under supervision of Hans-Paul Schwefel) from Dortmund University, Germany, in 1994, and then worked for the Informatik Centrum Dortmund (ICD) as department leader of the Center for Applied Systems Analysis. From 2000 - 2009, Thomas was President of NuTech Solutions GmbH and CTO of NuTech Solutions, Inc. In his work with industrial partners in the industry 4.0 domain, he provides data mining, optimization software and services to companies such as, e.g., BMW, Daimler, Ford, Honda, Tata Steel, and KLM.

Thomas Bäck has more than 300 publications and authored a book on evolutionary algorithms, (Evolutionary Algorithms: Theory and Practice).
He is co-editor of the Handbook of Evolutionary Computation and the Handbook of Natural Computing, and co-author of the book Contemporary Evolution Strategies (Springer, 2013). He is editorial board member of a number of journals and has served as program chair for major conferences in evolutionary computation. He received the best dissertation award from the Gesellschaft für Informatik (GI) in 1995 and is an elected fellow of the International Society for Genetic and Evolutionary Computation for his contributions to the field. In 2015, he received the IEEE Evolutionary Computation Pioneer Award for his contributions in synthesizing evolutionary computation.

 

Algorithms for Simulation-Based Optimization Problems

Many industries use simulation tools for virtual product design, and there is a growing trend towards using simulation in combination with optimization algorithms for tuning simulation input parameters. The requirements for optimization under such circumstances are often very strong, involving many design variables and constraints and a strict limitation of the number of function evaluations to a surprisingly small number (often around one thousand or less).

Tuning optimization algorithms for such challenges has led to very good results obtained by variants of evolution strategies and by variants of Bayesian optimization algorithms. Evolutionary algorithms are nowadays standard solvers for such applications. In the presentation, sample cases from industry are presented, and their challenges are discussed in more detail. Results of an experimental comparison of contemporary evolution strategies on the BBOB test function set for a small number of function evaluations are presented and discussed, and further enhancements of contemporary evolution strategies are outlined.

Our practical examples are motivated by industrial applications. A typical challenge is to find innovative solutions to a design optimization task. Based on a suitable definition of innovative solutions, an application of this concept to an airfoil design optimization task is discussed in the presentation.

Discussing these applications and the variants of evolution strategies applied, the capabilities of these algorithms for optimization cases with a small number of function evaluations are illustrated.

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