Special Session: PSMO (Deadline Extended)

The special session Parallel Computing and Surrogate Models in Multiobjective Optimization (PSMO) will be held at BIOMA 2018. More information about this event can be found on the conference web page: https://bioma2018.sciencesconf.org

Scope and objectives

Many real-world optimization problems involve multiple, often conflicting objectives and demand computationally expensive simulations to assess the objectives. Such multiobjective optimization problems can be solved more efficiently if parallelization is used to execute the simulations simultaneously and/or if the simulations are partly replaced by accurate surrogate models. To accelerate the search, parallel and distributed computing are used in the design and implementation of multiobjective optimization algorithms. Furthermore, parallelization can improve the precision of the models as well as the quality and robustness of solutions. It is necessary for solving large scale multiobjective problems. Surrogate models, also known as response surface models or meta-models, are data driven models that can be used when more precise models, such as those based on the finite element method or computational fluid dynamics, spend too much time and resources. While surrogate models allow for fast simulation and assessment of the optimization objectives, they also represent an additional source of impreciseness. The aim of this special session is to bring together researchers and practitioners working in parallelized and/or surrogate-based multiobjective optimization to present recent achievements in the field and discuss directions for further work.


Prospective authors are invited to submit their original and unpublished work on all aspects of parallelized and/or surrogate-assisted multiobjective optimization. The scope of the special session includes, but is not limited to the following topics:

• Theoretical and practical aspects of parallel computing: models (granularity, synchronicity), architectures (homogeneity), and implementations
• Recent trends in GPU computing
• Parallelization of algorithms with respect to multiple objectives and surrogates
• State-of-the-art in multiobjective optimization with surrogate models
• Theoretical aspects of surrogate-assisted multiobjective optimization
• Novel surrogate-based multiobjective optimization algorithms
• Benchmark problems and performance measures for multiobjective optimization with surrogates
• Synergy of parallel computing and surrogate models in multiobjective optimization
• Applications of parallel computing in surrogate-assisted multiobjective optimization

Important dates

• Paper submission: 13 December 2017 (Updated!)
• Notification of acceptance: 15 February 2018
• Final papers: 1 March 2018

Session organizers

• Bogdan Filipič, Jožef Stefan Institute, Slovenia
• Thomas Bartz-Beielstein, TH Köln, Germany


The submission deadline is 13 December 2017 (extended!). The special session papers have to be submitted via the BIOMA 2018 submission page. Important: Only long papers (S2) with a maximum of 12 pages will be accepted. The accepted papers will be published, together with other conference papers, in a Lecture Notes in Computer Science (LNCS) volume by Springer. Detailed instructions for paper preparation can be found on the BIOMA 2018 submission page: https://bioma2018.sciencesconf.org/resource/page/id/2

This event is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 692286.