IEEE MCDM'2018 will
be held simultaneously with over 30 other symposia and workshops in one
location at the 2018 IEEE Symposium Series on Computational
Intelligence (IEEE SSCI 2018). 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 2018 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.
The manuscripts should be submitted in PDF format. Click Here to know further guidelines for submission.
Topics
IEEE
MCDM'2018 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)
Multiobjective Machine Learning (MOML)
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
vAccuracy-interpretability, stability-plasticity dilemma
Pareto-based ensemble generation
Multi-objective parameter and structure optimization in deep learning
Pareto-analysis of learning systems
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
Decision Making (DM) Techniques
Integration of MOO, ML, DM, and IV to support Multicriteria Decision Making
Symposium Co-Chairs

Joshua Knowles
University of Birmingham, UK
Email: [email protected]

Jussi Hakanen
University of Jyväskylä, Finland
Email: [email protected]

Yaochu Jin
University of Surrey, UK
Email: [email protected]
Program Committee
(To be announced)