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- Contains open access
- ISSN: 0269-8889 (Print), 1469-8005 (Online)
- Editors: Professor Peter McBurney King’s College, London, UK, Professor Simon Parsons University of Lincoln, UK, and Dr Patrick Mannion National University of Ireland Galway, University Road, Galway, Ireland
- Editorial board
Knowledge Engineering Review is committed to the development of the field of artificial intelligence and the clarification and dissemination of its methods and concepts. KER publishes: reports of new research in symbolic AI, knowledge-based systems, knowledge engineering, and related areas; analytic surveys providing critical reviews and novel frameworks of topics in these areas, including application domains and related disciplines; technical tutorials and detailed introductions to a relevant area; book reviews; abstracts of recent PhDs in artificial intelligence; application and country surveys, commentaries and debates; and summaries of AI-related research projects.
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Evolutionary Machine Learning
- 23 Nov 2020,
- This special issue targets high-quality original research papers covering all aspects of evolutionary machine learning. A non-exhaustive list of the topics of interest is outlined below. The submission of manuscripts that are extended versions of work previously published at a conference or workshop are also welcome, on the condition that there is a significant amount of new material in the submission (i.e. the submission should contain a minimum of 50% new material).