Workshop onĀ Surrogate-Assisted Evolutionary Optimisation (SAEOpt
2018)
** Call for Papers **
---------------------
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 2018 in Kyoto, Japan, 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):
* Advanced machine 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 assessment and 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
welcome position papers of up to 2 pages showcasing exciting
exploratory and preliminary results.
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 **
---------------------
Submission site opens: 27 February, 2018
Submission deadline: 27 March, 2018
Notification of acceptance: 10 April, 2018.
Camera ready submission: 24 April, 2018.
Conference date: 15 - 19 July, 2018.
** Submission **
----------------
Accepted papers will be presented orally (20 minutes) 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 in the
following link.
http://gecco-2018.sigevo.org/index.html/Papers+Submission+Instructions
Manuscripts should not exceed eight pages for regular submission
and two pages for position papers. For proposals of short
demonstrations or presentations (5-10 minutes), a half page
abstract should be submitted. This year all submissions will be
handled through the standard GECCO submission site: https://ssl.linklings.net/conferences/gecco/
For a sample submission form, please visit this link.
Please note that acceptance to workshop will be based on
double-blind peer review of the submitted papers.
For more information, visit: http://www.saeopt.ex.ac.uk/