[Opt-Net] CfP 2017 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (IEEE MCDM'2017)

Hakanen, Jussi jussi.hakanen at jyu.fi
Fri Apr 21 10:43:42 CEST 2017


< We apologize for multiple posting. Please kindly disseminate this Call for Abstracts to your colleagues and contacts>

****************************************************************************************************
Call for Papers: 2017 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (IEEE MCDM'2017)
****************************************************************************************************

Place and time
Hawaii, USA, Nov 27 - Dec 1, 2017

Description
IEEE MCDM'2017 will be held simultaneously with over 30 other symposia and workshops in one location at the 2017 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017). This international event promotes all aspects of the theory and applications of computational intelligence. Sponsored by the IEEE Computational Intelligence Society, this event will attract top researchers, professionals, practitioners and students from around the world. The registration to SSCI 2017 will allow participants to attend all the symposia, including the complete set of the proceedings of all the meetings, coffee breaks, lunches, and the banquet.

Topics
IEEE MCDM'2017 aims to bring together scientists, engineers and students from around the world to discuss the latest advances in the field of CI applied to issues in MCDM. Topics covered include applications of computational intelligence technologies, such as neural networks and learning algorithms, fuzzy systems, evolutionary computation, and other emerging techniques in the following or similar areas:

  *   Multiobjective Search/Optimization (MOO)
     *   Multi-objective evolutionary algorithms
     *   Data-driven and model-based multi-objective optimization
     *   Multi-objective meta-heuristics (scatter, Tabu search, particle swarm optimization, ant colony etc.)
     *   Handling a large number of objectives
     *   Handling large-scale multi-objective problems
  *   Multiobjective Machine Learning (MOML)
     *   Accuracy and complexity trade-off
     *   Accuracy-interpretability, stability-plasticity dilemma
     *   Pareto-based ensemble generation
     *   Multi-objective parameter and structure optimization in deep learning
     *   Pareto-analysis of learning systems
  *   Decision Making (DM) Techniques
     *   Preference elicitation and representation
     *   Aggregation/trade-off operators & algorithms
     *   Fuzzy logic based DM techniques
     *   Bayesian and other DM techniques
  *   Interactive Visualization (IV)
     *   Progressive aggregation methods
     *   Decision maker in the loop
  *   Integration of MOO, ML, DM, and IV to support Multicriteria Decision Making

Important dates

  *   Paper Submissions: July 2, 2017
  *   Notification to Authors: August 27, 2017
  *   Final Submission: September 24, 2017
  *   Early Registration: September 24, 2017
  *   Symposium: November 27 - December 1, 2017

Co- chairs

·         Joshua Knowles (University of Birmingham, UK)

·         Jussi Hakanen (University of Jyväskylä, Finland)

·         Yaochu Jin (University of Surrey, UK)

More information: http://www.ele.uri.edu/ieee-ssci2017/MCDM.htm


-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://listserv.zib.de/pipermail/opt-net/attachments/20170421/46ee0a15/attachment.html>


More information about the Opt-Net mailing list