EvoSTOC
Evolutionary Algorithms and Meta-heuristics in Stochastic and Dynamic Environments
Selected EvoApplications papers will be invited to submit to a special issue of the Genetic Programming and Evolvable Machines (2016 Impact Factor: 1.514)
Following the success of previous events and the importance of the
field of evolutionary and bio-inspired computation for dynamic
optimization problems, the Evo
STOC 2018 will run its 15th edition
as a track of EvoApplications, the 20th International Conference on the
Applications of Evolutionary and bio-inspired Computation.
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 Evo
STOC 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.
Evo
STOC 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
PUBLICATION DETAILS
Accepted papers will appear in the proceedings of EvoApplications,
published in a volume of the Springer Lecture Notes in Computer Science,
which will be available at the Conference. Submissions must be original and
not published elsewhere. The submissions will be peer reviewed by at least
three members of the program committee. 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.
This year EvoApplications is accepting two kinds of submission: full papers and short papers. Full papers require novel and complete research work and have a limit of 16 pages. Short papers should present complete research or interesting preliminary results and have a limit of 8 pages. Both types of submission will undergo the same double blind review process and all accepted papers will be included in the LNCS proceedings. All authors of accepted papers will be given the opportunity to further disseminate their work in poster sessions.
SUBMISSION DETAILS
- Submissions must be original and not published elsewhere. They will be
peer reviewed by members of the program committee. The reviewing process
will be double-blind, so please omit information about the authors in the
submitted paper.
- Submit your manuscript in Springer
LNCS format.
- Please provide up to five keywords in your Abstract
- Page limit: 8 pages (short papers) or 16 pages (full papers).
Submission link: https://myreview.saclay.inria.fr/evoapps18/
Presentation details
There are two types of presentation:
- Long talk (20 minutes + 5 min questions). Authors can optionally bring a poster to present at the poster session.
- Short talk (10 minutes, no questions). Authors MUST also bring a poster to present at the poster session.
Short papers are only eligible for short talks. Authors of long papers will be notified in advance of the type of presentation (short/long).
Track chairs
- Michalis Mavrovouniotis
Nottingham Trent University
michalis.mavrovouniotis(At)ntu.ac.uk
- Trung Thanh Nguyen
Liverpool John Moores University
T.T.Nguyen(At)ljmu.ac.uk
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)
- Shayan Kavakeb (AECOM, United Kingdom)
- Changhe Li (China University of Geosciences, China)
- Michalis Mavrovouniotis (Nottingham Trent 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)
- 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)
- Charly Lersteau (Liverpool John Moores University, United Kingdom)
- Mario Garza (Liverpool John Moores University, United Kingdom)