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CALL FOR PAPERS
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Workshop on
Evolutionary Computation + Multiple Criteria Decision Making (EC + MCDM)
The Genetic and Evolutionary Computation Conference (GECCO 2020) July 8-12, 2020, Cancun, Mexico: Please note that the conference will be held as an electronic-only conference. More details will be provided soon.
Paper submission deadline: April 3, 2020 April 17, 2020
Webpage: http://blogs.exeter.ac.uk/ecmcdm/<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fblogs.exeter.ac.uk%2Fecmcdm%2F&data=02%7C01%7CT.Chugh%40exeter.ac.uk%7C944e3b8a817c426aaef308d78413e6c6%7C912a5d77fb984eeeaf321334d8f04a53%7C0%7C0%7C637123093317123856&sdata=6LCzXWNxDVZLSKelqqdj2etStx7EAFolZzv0QYrG6sA%3D&reserved=0>
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About the workshop
In many real-world problems, several conflicting objectives need to be optimized simultaneously. Therefore, it is crucial to properly structure and solve the problem with relevant tools for supporting a decision maker. Multiple criteria decision making (MCDM) tools have been found to be useful in several such applications e.g. health care, education, environment, transportation, business and production. In recent years, there has also been growing interest in merging EC and MCDM techniques for several applications. This workshop will showcase research that is both at the interface of EC and MCDM as well as in the more traditional MCDM domain.
The workshop on Evolutionary Computation + Multiple Criteria Decision Making (EC + MCDM) to be held in GECCO 2020 aims to promote the research on theory and applications in the field. Topics of interest (but not limited to) include:
• Preference elicitation and representation
• Interactive multiobjective optimization or decision maker in the loop
• Visualization in EC + MCDM • Aggregation/trade-off operators & algorithms
• Fuzzy logic based decision making techniques
• Bayesian and other decision making techniques
• Interactive multiobjective optimization for (computationally) expensive problems
• Using surrogates (or metamodels) in MCDM
• Hybridization of EC and MCDM
• Scalability in EC + MCDM
• MCDM and machine learning
• MCDM for Big data
• MCDM in real-world applications
• Exploring and using cognitive capabilities in MCDM
• Use of psychological tools to aid decision maker
Submission
We invite papers up to 8 pages relevant to the workshop and position papers of up to 2 pages showing preliminary results. We also welcome posters, demonstrations or presentations on ground-breaking theoretical and application results in the field. Accepted papers will be published in the GECCO Companion Proceedings and will be presented orally at the workshop.
For paper submission instructions and templates, please see: https://gecco-2020.sigevo.org/index.html/Papers+Submission+Instructions
Keynote talk
Prof. Michael Emmerich from Leiden University, Netherlands will be giving a keynote talk in the workshop.
Important dates
Submission opening: February 27, 2020
Submission deadline: April 3, 2020 April 17, 2020
Reviews due: April 13, 2020 April 27, 2020
Decisions due: April 17, 2020 May 1, 2020
Camera-Ready Material: April 24, 2020 May 8, 2020
Early author registration: April 24, 2020 May 11, 2020
Workshop organizers
Tinkle Chugh (University of Exeter, UK) Richard Allmendinger (Alliance Manchester Business School, University of Manchester, UK) Jussi Hakanen (Faculty of Information Technology, University of Jyväskylä, Finland)
More information about the organizers can be found on the workshop webpage http://blogs.exeter.ac.uk/ecmcdm/<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fblogs.exeter.ac.uk%2Fecmcdm%2F&data=02%7C01%7CT.Chugh%40exeter.ac.uk%7C944e3b8a817c426aaef308d78413e6c6%7C912a5d77fb984eeeaf321334d8f04a53%7C0%7C0%7C637123093317133809&sdata=FG1x%2BwTHEb4%2Fd9nI25B3iYx02MeBA4%2B7XnjYXBp03i4%3D&reserved=0>
Contact
Please feel free contact any of the special session organizers at t.chugh@exeter.ac.uk<mailto:t.chugh@exeter.ac.uk> , richard.allmendinger@manchester.ac.uk<mailto:richard.allmendinger@manchester.ac.uk> , jussi.hakanen@jyu.fi<mailto:jussi.hakanen@jyu.fi>
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