The Special Session on Resilient Bio-Inspired Algorithms (RBA) of EvoApps will provide a specialized forum of discussion and exchange of information for researchers interested in exploring bio-inspired approaches (swarm intelligence, evolutionary computing) to attain resilient systems and processes.
Resiliency is a major topic after major disruptions like COVID-19 where many organizations/systems were too brittle to quickly adapt and they simply broke. Designers of bio-inspired techniques should focus on such systems and help in their design and/or operation, in order to make them more adaptable and capable of withstanding such disruptions. This is for example the case of many organization/industrial processes that work as goal-oriented complex systems, often using AI tools.
It is not uncommon that AI-enhanced complex projects face difficulties due to maintenance issues, scalability problems, or disrupted operation in the presence of major external disturbances. Resilience is thus not only a desired property of the system to which AI is applied, but also a sought property for AI methods themselves.
Topics of Interest
- Topics of interest include, but are not limited to:
- Resilience and fault-tolerance in computational intelligence
- Resilience on AI engineering using bio-inspired computing
- Resilience on hyper-automation including evolutionary machine learning, evolutionary machine vision, and evolutionary robotics.
- Resilience on complex systems
- Resilience on evolutionary software engineering
- Real-world situations where robustness and trustworthiness of solutions are mandatory
- Emerging topics not traditionally discussed within the swarm and evolutionary computation where resiliency is of significant applicability
- Carlos Cotta
Universidad de Málaga, Spain
- Gustavo Olage