Workshop on Evolutionary Computation and Decision Making (EC + DM)

Solving real-world optimisation problems typically involve an expert or decision-maker. Decision making 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 Evolutionary Computation (EC) and decision-making techniques for several applications. This has raised amongst others the need to account for explainability, fairness, ethics and privacy aspects in optimisation and decision-making. This workshop will showcase research that is both at the interface of EC and decision making.

The workshop on Evolutionary Computation and Decision Making (EC + DM) to be held in GECCO 2024 aims to promote research on theory and applications in the field. Topics of interest include:

• Interactive multiobjective optimisation or decision-maker in the loop
• Visualisation to support DM in EC
• Aggregation/trade-off operators & algorithms to integrate decision maker preferences
• Fuzzy logic-based DM techniques
• Bayesian and other DM techniques
• Interactive multiobjective optimisation for (computationally) expensive problems
• Using surrogates (or metamodels) in DM
• Hybridisation of EC and DM
• Scalability in EC and DM
• DM and machine learning
• DM in a big data context
• DM in real-world applications
• Use of psychological tools to aid the decision-maker
• Fairness, ethics and societal considerations in EC and DM
• Explainability in EC and DM
• Accounting for trust and security in EC and DM

Contact

Please feel free to contact us in case you have any questions about the session

Tinkle Chugh: t.chugh@exeter.ac.uk 

Richard Allmendinger: richard.allmendinger@manchester.ac.uk

Hadi Akbarzadeh Khorshidi: hadi.khorshidi@unimelb.edu.au

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