Knowledge Incorporation in Evolutionary Computation
Due to a large number of request for late submissions, the EvoStar submission sites will stay open until this Tuesday 15 November 23:59:59 SST, after which no further submissions will be accepted. Authors who have already submitted, can update their work until this time.
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.
This track, organized under the aegis of the H2020 FET-OPEN project
"PHOENIX: Exploring the Unknown through Reincarnation and Co-
, aims at bringing together researchers and practitioners from
all application domains dealing with the incorporation of knowledge into
evolutionary techniques. We seek high-quality contributions focused on
multi-disciplinary approaches combining Evolutionary Computation,
knowledge representation, knowledge transfer, case-based reasoning,
and real-world applications thereof. Topics of interest include but are not
- Incorporation of domain knowledge into evolutionary algorithms
- Novel techniques to identify and elicit explicit and/or implicit expert knowledge relevant to evolutionary algorithms
- Innovative knowledge representation strategies for Evolutionary Computation
- Case-based reasoning applied to evolutionary algorithms
- Knowledge transfer across applications and domains
- Methods to account for uncertainties and contradictions in knowledge
- Knowledge-informed surrogate-assisted evolutionary algorithms
- Lifetime learning and Interactive Evolutionary Computation
- Memetic computing and domain-specific evolutionary techniques
- Real-world applications of knowledge-based Evolutionary Computation
Submissions must be original and not published elsewhere. They will be
peer reviewed by at least three 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: 16 pages.
Accepted papers will appear in the proceedings of EvoStar, published in a volume of the Springer Lecture Notes in Computer Science,
which will be available at the Conference. 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.
- Jarosław Arabas (Warsaw University of Technology, Poland)
- János Botzheim (Tokyo Metropolitan University, Japan)
- Doina Bucur (University of Twente, The Netherlands)
- Fabio Caraffini (De Montfort University, UK)
- Ahmed Hallawa (RWTH Aachen University, Germany)
- Ferrante Neri (De Montfort University, UK)
- Vinícius Veloso de Melo (UNIFESP-SJC, Brazil)
- Anil Yaman (Technical University of Eindhoven, The Netherlands)
- Aleš Zamuda (University of Maribor, Slovenia)
EvoKNOW Track Chairs
- Giovanni Iacca
INCAS3, The Netherlands
- Matt Coler
INCAS3, The Netherlands
- Gerd Ascheid
RWTH Aachen University, Germany