32nd European Conference on Modelling and Simulation

 

Join the leading scientific forum for European simulationists

The European Conference on Modelling and Simulation (ECMS) is the annual conference of the European  Council for Modelling and Simulation, an independent forum of European academics and practitioners  dedicated to research, development, and applications of modelling and simulation.

ECMS 2018 is hosted by Jade University of Applied Sciences

Call for Papers

ECMS2018 is asking for papers on the following topics:

Simulation of Intelligent Systems

Modelling, Simulation and Control of Technological Processes  Simulation in Industry, Business and Services (which includes Logistics and Transportation management)

Finance and Economics and Social Science  Simulation and Optimization

High Performance Modelling and Simulation

Simulation of Fluid-Mechanically Effective Microstructures and Combustion Processes

Finite Element Simulation of Multi-Phisical Systems

Important dates:

Submission of Full-Length Papers (up to 7 pages): 2nd February, 2018

Notification of Paper Acceptance: 9th March, 2018

Submission of Final Papers: 6th April, 2018

Conference dates in Wilhelmshaven: May 22nd - May 25th,2018

Conference Committee

Conference Chair: Lars Nolle

Programme Chair: Jens Werner

Co-Conference Chair: Alexandra Burger

Co-Conference Chair: Christoph Tholen

Co-Programme Chair: Jens Wellhausen

 

Tracks:

Simulation in Industry, Business, Transport and Services (IBTS)

Track chair: Alessandra Orsoni

Co-chairs: Edward J. Williams and Romeo Bandinelli

 

Simulation of Intelligent Systems (IS)

Track chair: Zuzana Kominková Oplatková

Co-chair: Roman Senkerik

 

Finance, Economics and Social Science (FES)

Track chair: Kata Varadi

Co-chairs: Barbara Dömötör and Ágnes Vidovics-Dancs

 

Modelling, Simulation and Control of Technological Processes (MCT)

Track chair: Jiri Vojtesek

Co-chair: Frantisek Gazdos

 

Simulation and Optimization (SIMO)

Track chair: Frank Herrmann

Co-chairs: Thorsten Claus and Michael Manitz

 

Simulation of Fluid-Mechanically Effective Microstructures and Combustion Processes (SFMC)

Track chair: Karsten Oehlert

Co-chairs: Peter Charles and Konrad Hartung

 

Finite Element Simulation of Multi-physical Systems (FESoMpS)

Track chair: Tamara Bechtold

Co-chairs: Chengdong Yuan and Siyang Hu

 

High Performance Modelling and Simulation (HiPMoS)

Honorary Track chair: Joanna Kolodziej

Track chair: Mauro Iacono

Co-chairs: Daniel Grzonka, Rostislav V. Razumchik and Agnieszka Jakobik

Travel

Where to fly to


Jade Hochschule show on large map

By car

• Take the A29 towards Wilhelmshaven

• Leave the motorway at exit 3: Wilhelmshaven - Coldewei - Altengroden - Maadebogen.

• Turn left, following the signs for the town centre (Stadtmitte) and University of Applied Sciences (Fachhochschule).

• Drive straight ahead over the second (major) traffic lights across Kurt-Schumacher-Straße towards the town centre.

• Take the next left onto the University of Applied Sciences campus.

By rail/bus

• The railway station is in the centre of town.• Take bus No. 3 from the central station (ZOB Zentraler-Omnibus-Bahnhof) going to "Wilhelmshaven Klinikum/Jadehochschule" and get off at the final stop "Wilhelmshaven Klinikum/Jadehochschule"or

• Take bus No. 4 from the central station (ZOB Zentraler-Omnibus-Bahnhof) going to "Johann-Sebastian-Bach-Straße" and get off at the stop "Wilhelmshaven Klinikum/Jadehochschule"or

• Take bus No. 6 from the central station (ZOB Zentraler-Omnibus-Bahnhof) going to "Voslapp Süd" and get off at the stop "Wilhelmshaven Klinikum/Jadehochschule"

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.

 

Title: 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.