[Opt-Net] CFP (deadline 15th Nov 2016) EvoSTOC 2017 - Evolutionary Algorithms and Meta-heuristics in Stochastic and Dynamic Environments

[Nguyen, Trung Thanh]

Dear colleagues and friends,

My apologies for cross-posting.

On behalf of the co-chairs of EvoSTOC 2017 – Evolutionary Algorithms and Meta-heuristics in Stochastic and Dynamic Environments, I would like to invite you to submit your work to this event. EvoSTOC aims to foster interest in metaheuristics and stochastic optimisation for stochastic and dynamic environments and to provide an opportunity for researchers to meet and to present and discuss the state-of-the-arts in the field.

Please note that the deadline has been extended to 15th November 2016.

Please find below the full call for papers.

*********************************************************************
CALL FOR PAPERS

EvoSTOC 2017 - Evolutionary Algorithms and Meta-heuristics in Stochastic and Dynamic Environments
Track of EvoApplications, the 20th European Conference on the Applications of Evolutionary Computation

Part of Evo* 2017

Amsterdam, Netherlands, 19-21 April 2017

Submission deadline (extended): 15 November 2016

evoSTAR: http://www.evostar.org
evoSTOC: http://www.evostar.org/2017/cfp_evostoc.php<http://www.evostar.org/2016/cfp_evostoc.php>

*********************************************************************

Following the success of previous events and the importance of the field of evolutionary and bio-inspired computation for dynamic optimization problems, the EvoSTOC 2017 will run its 14th edition as a track of EvoApplications, the 20th European Conference on the Applications of Evolutionary and bio-inspired Computation.

The recipients of the "EvoAPPLICATIONS Best Paper Awards" will be invited to submit an extended version of their works to a special issue of Memetic Computing<https://link.springer.com/journal/12293>.


**** PUBLICATION DETAILS ****

Submissions will be rigorously reviewed by at least three members of the program committee. Accepted papers will be presented orally at the event and included in the EvoApplications proceedings, published by Springer Verlag in a dedicated volume of the Lecture Notes in Computer Science series. Submissions must be original and not published elsewhere. The submissions will be peer reviewed. The authors of accepted papers will have to improve their paper on the basis of the reviewers’ comments and will be asked to send a camera-ready version of their manuscripts. At least one author of each accepted work has to register for the conference and attend the conference and present the work.



**** TOPICS OF INTEREST ****

Many real-world optimisation problems are characterised by some types of uncertainty that need to be accounted for by the algorithms used to solve the problems. These uncertainties include noise (noisy optimisation), approximations (surrogate-assisted optimisation), dynamics (dynamic/online optimisation problems) as well as the requirements for robust solutions (robust optimisation). Dealing with these uncertainties has become increasingly popular in stochastic optimisation in recent years and a variety of new techniques have been proposed. The objective of EvoSTOC is to foster interest in metaheuristics and stochastic optimisation for stochastic and dynamic environments and to provide an opportunity for researchers to meet and to present and discuss the state-of-the-arts in the field. EvoSTOC accepts contributions, both empirical and theoretical in nature, for any work relating to nature-inspired, metaheuristics and stochastic techniques applied to a domain characterised by one or more types of uncertainty.



Topics of interest include, but are not limited to, any of the followings in the realm of nature-inspired, metaheuristics and stochastic computation:

* noisy fitness functions
* fitness approximations / surrogate-assisted optimisation
* robust solutions and robust optimisation
* dynamic optimisation problems
* dynamic constrained optimisation problems
* dynamic multi-objective optimisation problems
* co-evolutionary domains
* online optimisation
* online learning
* big data analysis in dynamic environments
* dynamic and robust optimisation benchmark problems
* real-world applications characterised by uncertainty and online real-world applications
* the applications of nature-inspired, metaheuristics and stochastic optimisation on vulnerability and risk analysis/management
* the applications of nature-inspired, metaheuristics and stochastic optimisation on reliability and robustness of real-world systems
* optimisation in (video) games and related domains (e.g., dynamical systems)
* theoretical results (e.g., runtime analysis) for stochastic problems


**** Important Dates ****

Submission (extended): 15 November 2016
Notification to authors: 9 January 2017
Camera-ready deadline: 25 January 2017
EvoSTOC: 19-21 April 2016



**** Additional information and submission details ****

Submit your manuscript, at most 16 A4 pages long, in Springer LNCS format (instructions downloadable from:
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 )
no later than 15 November 2016.

Submission link: https://myreview.saclay.inria.fr/evoapps17/
Page limit: 16 pages

The reviewing process will be double-blind; please omit information about the authors in the submitted paper.

Further information on the conference and co-located events can be found in: http://www.evostar.org

**** Programme committee ****
Juergen Branke (University of Warwick, United Kingdom)
Hui Cheng (Liverpool John Moores University, United Kingdom)
Ernesto Costa (University of Coimbra, Portugal)
Andries P Engelbrecht (University of Pretoria, South Africa)
Chi Trung Ha (Liverpool John Moores University, United Kingdom)
Shayan Kavakeb (AECOM, United Kingdom)
Changhe Li (China University of Geosciences, China)
Michalis Mavrovouniotis (Nottingham Trent University, United Kingdom)
Jorn Mehnen (Cranfield University, United Kingdom)
Ferrante Neri (De Montfort University, United Kingdom)
David Pelta (University of Granada, Spain)
Hendrik Richter (Leipzig University of Applied Sciences, Germany)
Anabela Simões (Institute Polytechnic of Coimbra, Portugal)
Renato Tinós (Universidade de São Paulo, Brazil)
Ran Wang (Liverpool John Moores University, United Kingdom)
Trung Thanh Nguyen (Liverpool John Moores University, United Kingdom)
Krzysztof Trojanowski (Cardinal Stefan Wyszyński University in Warsaw, Poland)
Shengxiang Yang (De Montfort University, United Kingdom)
Danial Yazdani (Liverpool John Moores University, United Kingdom)


**** Track chairs ****

Michalis Mavrovouniotis
Nottingham Trent University, United Kingdom
michalis.mavrovouniotis(at)dmu.ac.uk;

Trung Thanh Nguyen
Liverpool John Moores University, United Kingdom
T.T.Nguyen(at)ljmu.ac.uk





________________________________
Important Notice: the information in this email and any attachments is for the sole use of the intended recipient(s). If you are not an intended recipient, or a person responsible for delivering it to an intended recipient, you should delete it from your system immediately without disclosing its contents elsewhere and advise the sender by returning the email or by telephoning a number contained in the body of the email. No responsibility is accepted for loss or damage arising from viruses or changes made to this message after it was sent. The views contained in this email are those of the author and not necessarily those of Liverpool John Moores University.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://listserv.zib.de/pipermail/opt-net/attachments/20161103/62d7e7b3/attachment.html>