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Evolutionary Algorithms in Stochastic and Dynamic Environments

EvoSTOC at EvoStar: "Evolutionary Algorithms in Stochastic and Dynamic Environments"

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

Areas of Interest and Contributions

Topics of interest include, but are not limited to, any of the following in the realm of nature-inspired computation:

Publication Details

Accepted papers will appear in the proceedings of EvoStar, published as Springer Lecture Notes in Computer Science.

Submission Details

Submissions must be novel and original. Submissions will be peer reviewed by at least three members of the program committee and authors of accepted papers are required to address the reviewer's comments to produce a camera-ready version of their manuscripts. At least one author of each accepted paper must register for the conference and attend the conference to present their work.

The reviewing process will be double-blind and any information that may identify the authors should be removed from the initial submission. Please submit your contribution to EvoSTOC in Springer LNCS format. at http://myreview.csregistry.org/evoapps13. The page limit is 10 pages.

Important Dates

Submission deadline: 1 November 2012 Extended to 11 November 2012
Notification to authors: T.B.A.
Camera-ready deadline: 15 January 2013
EvoStar event: 3-5 April 2013

Programme Committee