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:
- noisy fitness functions
- fitness approximations / surrogate-assisted optimisation
- robust solutions
- dynamic optimisation problems
- dynamic constrained optimisation problems
- dynamic multi-objective optimisation problems
- co-evolutionary domains
- real-world applications characterised by uncertainty
- optimisation in (video) games and related domains (e.g., dynamical systems)
- theoretical results (e.g., runtime analysis) for stochastic problems
Accepted papers will appear in the proceedings of EvoStar, published as Springer Lecture Notes in Computer Science.
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.
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
EvoSTOC track chairs
- Anabela Simões
Coimbra Institute of Engineering, Portugal
- Philipp Rohlfshagen
University of Essex, UK
- Juergen Branke (University of Warwick, United Kingdom)
- Ernesto Costa (University of Coimbra, Portugal)
- A. Sima Etaner-Uyar (Istanbul Technical University, Turkey)
- Yaochu Jin (University of Surrey, United Kingdom)
- Changhe Li (China University of Geosciences, China)
- Jorn Mehnen (Cranfield University, UK)
- David Pelta (University of Granada, Spain)
- Hendrik Richter(Leipzig University of Applied Sciences, Germany)
- Philipp Rohlfshagen (University of Essex, United Kingdom)
- Briseida Sarasola (University of Málaga, Spain)
- Anabela Simões (Coimbra Polytechnic, Portugal)
- Renato Tinós (Universidade de São Paulo, Brazil)
- Trung Thanh Nguyen (Liverpool John Moores University, United Kingdom)
- Krzysztof Trojanowski (Polish Academy of Sciences, Poland)
- Shengxiang Yang (De Montfort University, United Kingdom)