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

IEEE MCDM 2021 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:

Multi-objective 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

Multi-objective Machine Learning (MOML)

  • Accuracy and complexity trade-off
  • vAccuracy-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

Symposium Chairs

Hemant Singh
UNSW Canberra, Australia

Kalyanmoy Deb Michigan State University, USA

Programme Committee

Richard Allmendinger, University of Manchester, UK
Juergen Branke, Warwick Business School, UK
Carlos Coello Coello, CINVESTAV IPN, Mexico
Richard Everson, University of Exeter, UK
Jonathan Fiendsend, University of Exeter, UK
Carlos Fonseca, University of Coimbra, Portugal
Jussi Hakanen, University of Jyväskylä, Finland
Hisao Ishibuchi, SUSTech, China
Sanaz Mostaghim, Otto von Guericke University, Germany
Tapabrata Ray, The University of New South Wales, Australia
Tobias Rodemann, Honda Research Institute, Germany
Hemant Singh, The University of New South Wales, Australia
Markus Wagner, The University of Adelaide, Australia
Handing Wang, Xidian University, China
Bing Wang, The University of New South Wales, Australia
Ke Shang, SUSTech, China
Jesús Guillermo Falcón-Cardona, CINVESTAV IPN, Mexico
Shelvin Chand, CSIRO, Australia
Ahsanul Habib, IP Australia
Julian Blank, Michigan State University, USA