Evostar 2018

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 EvoSTOC 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 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

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)