The tutorial proposal “Meta-Model Assisted (Evolutionary) Optimization” was accepted by the PPSN organizers. The proposal abstract reads as follows:
Meta-model assisted optimization has been a well-recognized research area. Because it is applicable in a large number of different scenarios and yields huge improvements in optimization time or cost, it is applied to numerous real-world applications. These include, but are not limited to, the optimization of designs like airfoils, ship propulsion systems etc., chemical processes, biogas plants, composite structures, and electromagnetic circuit design. Meta-modelling is particularly interesting for expensive problems, with only hundreds of possible evaluations.
The aims of this tutorial can be described as follows: Firstly, we will provide a detailed understanding of the established concepts and distinguished methods in meta-model assisted optimization. Therefore, we will present an overview of current research and open issues in this field.
Moreover, we aim for a practical approach. The tutorial should enable the participants to apply up-to-date meta-modelling approaches to actual problems at hand. Afterwards, we will discuss typical problems and their solutions with the participants.
Finally, the tutorial should broaden the horizon of the participants by taking a look into areas where links to meta-modelling concepts have been established more recently, e.g., the application of meta-models in multi-objective optimization or in combinatorial search spaces.
The tutorial will be organized by the following SPOTSeven team members:
Boris Naujoks, Jörg Stork, Martin Zaefferer, and Thomas Bartz-Beielstein.
Mike Preuss’ book “Multimodal Optimization by Means of Evolutionary Algorithms” is available via Springer. This book
- Describes state of the art in algorithms, measures and test problems
- Approaches multimodal optimization algorithms via model-based simulation and statistics
- Valuable for practitioners with real-world black-box problems
I am looking forward to reading this book.
The EvoCOP 2016 review process started today. I am looking forward to reading interesting papers.
The 16th European Conference on Evolutionary Computation in Combinatorial Optimisation is a multidisciplinary conference that brings together researchers working on metaheuristics for solving difficult combinatorial optimisation problems appearing in various industrial, economic, and scientific domains. Continue reading
Here is the announcement from Gabriella Dellino and Carlo Meloni:
We are delighted to announce the publication of the book: “Uncertainty Management in Simulation-Optimization of Complex Systems. Algorithms and Applications” we edited as Volume n. 59 of Springer’s Operations Research/Computer Science Interfaces Series.
The book is available (also in the e-book version) at this link: http://www.springer.com/us/book/9781489975461. Continue reading
The Industrial Challenge will be held in the competition session at the Genetic and Evolutionary Computation Con- ference. It poses difficult real-world problems provided by industry partners from various fields. Highlights of the Industrial Challenge include interesting problem domains, real-world data and realistic quality measurement.
Organizers: Martina Friese, Andreas Fischbach, Thomas Bartz-Beielstein
Time and Location: Monday, July 13, 14:30-16:10, Tapices
See also http://www.sigevo.org/gecco-2015/competitions.html
The Statistical Ranking Color Scheme for Visualizing Parameterized Multiple Pairwise Comparisons with R by Pablo J. Villacorta and José A. Sáez is described here.
The book “Uncertainty Management in Simulation-Optimization of Complex Systems – Algorithms and Applications”, Editors: Gabriella Dellino and Carlo Meloni is announced on Springer’s Web page. Due date: July 14th, 2015.
It includes the publication “Uncertainty Management Using Sequential Parameter Optimization” (Thomas Bartz-Beielstein, Christian Jung, Martin Zaefferer).