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SAEOpt 2016 : Workshop on Surrogate-Assisted Evolutionary Optimisation (SAEOpt)

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Link: http://www.saeopt.ex.ac.uk/call_for_papers.html
 
When Jul 20, 2016 - Jul 24, 2016
Where Denver, USA
Submission Deadline Apr 3, 2016
Notification Due Apr 20, 2016
Final Version Due May 4, 2016
Categories    evolutionary optimisation   expensive optimsation   machine learning
 

Call For Papers

Call for Papers

Workshop on Surrogate-Assisted Evolutionary Optimisation (SAEOpt)

In many real world optimisation problems evaluating the objective function(s) is computationally expensive. Surrogate-assisted optimisation attempts to alleviate this problem by employing computationally cheap 'surrogate' models to estimate the objective function(s) or the ranking relationships of the candidate solutions. Surrogate-assisted approaches have been widely used across the field of evolutionary optimisation, and successful applications include aerodynamic design optimisation, structural design optimisation, data-driven optimisation, chip design, drug design, robotics and many more.

Despite recent successes in using surrogate-assisted evolutionary optimisation, there remain many challenges. The Workshop on Surrogate-Assisted Evolutionary Optimisation (SAEOpt) to be held at GECCO 2016 in Denver, USA, aims to promote the research on surrogate-assisted evolutionary optimisation, particularly the synergies between evolutionary optimisation and machine learning. Topics of interest include (but are not limited to):

* Learning approaches for constructing surrogates
* Model management in surrogate-assisted optimisation
* Multi-level, multi-fidelity surrogates
* Complexity and efficiency of surrogate-assisted methods
* Surrogates-assisted evolutionary optimisation of computationally expensive problems
* Data-driven optimisation
* Model approximation in dynamic, robust and multi-modal optimisation
* Model approximation in multi- and many-objective optimisation
* Comparison of different modelling methods in surrogate construction
* Surrogate-assisted identification of the feasible region
* Comparison of evolutionary and non-evolutionary approaches with surrogate models
* Performance improvement techniques in surrogate-assisted evolutionary computation

We invite short papers of up to 8 pages presenting novel developments in one or more of these areas, or other areas relevant to surrogate-assisted evolutionary optimisation.

We also welcome proposals for short demonstrations or presentations (5-10 minutes) on the following topics:

* Surrogate-assisted optimisation in real world
* Contemporary test problems in surrogate-assisted optimisation
* Other relevant accepted GECCO papers or recent journal papers

Important Dates

Paper submission deadline: 3 April, 2016.
Notification of acceptance: 20 April, 2016.
Camera ready submission: 4 May 2016.
Conference date: 20 - 24 July, 2016.

Submission

Accepted submissions will be presented orally at the workshop and distributed in the workshop proceedings to all conference attendees. Authors should follow the format of the GECCO manuscript style; further details are available at:

http://gecco-2016.sigevo.org/index.html/Papers

Manuscripts should not exceed eight pages. Papers should be submitted in PDF format to saeopt@exeter.ac.uk. Acceptance to workshop will be based on peer review of submitted papers. A short half-page abstract for proposals of demonstrations or presentations should be submitted to saeopt@exeter.ac.uk.

For more information, please visit: http://www.saeopt.ex.ac.uk/

Please send you queries to: saeopt@exeter.ac.uk

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