This is a past event
Many real-world applications involve optimisation of multiple conflicting objectives simultaneously. Examples include maximizing comfort and minimizing cost while buying or rent a home, minimizing the cost and maximizing the durability of constructed structures, and minimizing the traveling cost and maximum cover of distance. Such multi-objective optimisation problems require solutions that are capable of trading off objectives. In this talk, I will discuss evolutionary multi-objective learning, a popular approach for solving such problems and show how it can be adapted to various problem properties and dynamic scenarios. I will also talk about our recent work on using evolutionary multi-objective learning for the design of microbial systems for the production of biochemicals.
- Speaker
- Shouyang Jiang
- Venue
- Meston 2 and MS Teams
- Contact
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Contact Ehud Reiter for more information