Free download of our ASOC Article until November, 02, 2017

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If you are interested in our recent article Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets  which appeared in the journal Applied Soft Computing (ASOC), please take the opportunity to follow this link: https://authors.elsevier.com/a/1Vj555aecSVnxb. For a period until November, 02, 2017, this link will provide the free download of the final journal article.... Mehr »

Posts nach Kategorien: Publications

Samineh Bagheri Wins Best Student Paper Award

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We are happy to announce that Samineh Bagheri has won the Best Student Paper Award at "IEEE Symposium Series on Computational Intelligence" (IEEE SSCI 2016), a conference held in Athens, Greece . Read more here ...

Posts nach Kategorien: Publications

"Online Selection of Surrogate Models for Constrained Black-Box Optimization" to be presented at SSCI 2016

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We are delighted to announce that our recent research work related to online model selection for constrained optimization has been accepted for publication and it will be presented at SSCI 2016.  The SSCI 2016 conference will be held in Athens, Greece, from 6th to 9th of December, 2016. Many plenary and keynote talks are planned in the wide... Mehr »

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New Technical Report on Temporal Difference Learning for Games

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A new technical report on temporal difference (TD) learning for games and "self-play" algorithms for game-agent training is available. This report by Wolfgang Konen features a gentle introduction to TD learning for game play and gives hints for the practioner on the implementation of such algorithms . It shows the references to the most recent... Mehr »

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A New Repair Method For Constrained Optimization

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Many real-world optimization problems are dealing with constraints. The valid solution for constrained optimization problems (COP) lies somewhere in the feasible region which is a sub-set of the input-space. The borders of the feasible area are defined by one or many constraints. Existance of constraints makes the optimization problems more demanding. There are different approaches to... Mehr »

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How slow is slow? SFA detects signals that are slower than the driving force

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Publication: Wolfgang Konen, Patrick Koch, How slow is slow? SFA detects signals that are slower than the driving force, In: B. Filipic, J. Silc (eds.), Proc. 4th Int. Conf. on Bioinspired Optimization Methods and their Applications, BIOMA 2010, May 2010, Ljubljana, Slovenia

Posts nach Kategorien: Publications