Evolutionary Intelligence

We design and apply biologically inspired, self-learning systems to solve complex real-world problems.

The leader of the group Evolutionary Intelligence: Peter Bosman

Evolutionary Intelligence can be described as biologically inspired, self-learning systems that can be used to solve complex real-world problems, i.e., problems that are hard or impossible to solve optimally with exact algorithms. The algorithms that we study are inspired by natural and biological systems which we know are capable of doing extraordinary things. Key examples are natural evolution and biological brains, the artificial analogy of which are Evolutionary Algorithms (EAs) and Neural Networks (NNs). With EI we particularly focus on novel synergies between these two types of algorithms.

An example of an EI-application in medicine is medical image analysis. We are working on EI that can automatically recognize the prostate on an MRI scan. Besides this application, there are many other examples of applications, such as using EI to automatically design explainable predictive systems that can link certain characteristics of a patient to the outcome of a treatment. In addition, our group continues previously award-winning work in collaboration with Amsterdam UMC and Leiden UMC on applying EI technology to brachytherapy treatment planning. Brachytherapy is an important type of radiotherapy for the treatment of cancer whereby radioactive sources are placed in or near the tumor.

However, EI has a much broader application. This has led to interest in our research from a variety of sectors, including healthcare, logistics, agriculture and industrial design.

More information on our Life Sciences and Health Seminar.

Watch this video to get a glimpse of our activities

Publications

All publications

Current projects with external funding

  • Fast, accurate, and insightful brachytherapy treatment planning for cervical cancer through artificial intelligence (Brachytherapy treatment)
  • Distributed and Automated Evolutionary Deep Architecture Learning with Unprecedented Scalability (DAEDALUS)
  • Evolutionary eXplainable Artificial Medical INtelligence Engine (EXAMINE)
  • Multi-Objective Deformable Image Registration (MODIR) – An Innovative Synergy of Multi-Objective Optimization, Machine Learning, and Biomechanical Modeling for the Registration of Medical Images with (MODIR)
  • Uitlegbare kunstmatige intelligentie (None)
  • Transparent, Reliable and Unbiased Smart Tool for AI (TRUST-AI)