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2017 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (IEEE MCDM'2017)

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

Accepted Special Sessions

  • Latest developments in dynamic multi-objective optimization
    • Organizers:
      Kalyanmoy Deb Michigan State University, USA
      Andries Engelbrecht University of Pretoria, South Africa
      Mard Helbig University of Pretoria, South Africa
      Sanaz Mostaghim Otto von Guericke University Magdeburg, Germany
    • More Information

Symposium Co-Chairs


Joshua Knowles
University of Birmingham, UK
 Email: j.knowles@bham.ac.uk


Jussi Hakanen

University of Jyväskylä, Finland
Email: jussi.hakanen@jyu.fi


Yaochu Jin

University of Surrey, UK
Email:yaochu.jin@surrey.ac.uk


Program Committee

(To be announced)