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Prof. Dr. Peter A. N. Bosman
Evolutionary Intelligence Research Group Leader
CWI Amsterdam & Delft University of Technology
Keynote Title:
Evolutionary Intelligence: From DNA to Deployment
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Abstract
While AI has become synonym with deep learning for many in science and society, traditionally, the field of AI is defined as something much larger. By focusing exclusively on deep learning, we risk overlooking powerful synergies with other AI paradigms. In this keynote, I will explore the concept of Evolutionary Intelligence, representing combinations evolutionary computation and machine learning and highlight how cross-pollination between these paradigms has already led to algorithmic advances. I will showcase how Evolutionary Intelligence can unlock new possibilities for real-world applications, particularly when harnessed with modern GPU architectures and applied toward the development of more interpretable, explainable AI systems. Drawing from personal experience, I will present concrete examples from the medical domain, including how cancer patients are today being treated using plans generated by EI algorithms, demonstrating that EI is not just theoretical promise, but also clinical reality. I will argue that meaningful impact requires deep integration, not just between AI techniques, but between AI and the domains we aim to transform as well. Moving beyond getting top scores on benchmarks, we should embrace close collaboration with domain experts to ensure that algorithmic innovation is truly meaningful and can be translated into tangible societal benefit. |
Biography
Prof. Dr. Peter A. N. Bosman leads the Evolutionary Intelligence research group at the Dutch national center for mathematics and computer science (CWI) in Amsterdam and serves as a part-time full professor at Delft University of Technology. With roots in fundamental research on evolutionary computation, his current work lies at the intersection of evolutionary algorithms, machine learning, and real-world applications, particularly in explainable AI and complex optimization problems tackled in collaboration with societal and industrial partners. He is co-founder of the Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) family, which has become state-of-the-art in various domains, including (large-scale) grey-box optimization and symbolic regression. These algorithms have not only set benchmarks in the field but have also been successfully translated into clinical practice - for example, in the automated design of personalized radiation treatment plans for cancer patients. Prof. Bosman has authored over 250 peer-reviewed publications, with 9 best paper awards and 11 additional nominations. He is a two-time recipient of the silver Humies award for achieving human-competitive results with evolutionary algorithms and currently serves as chair of ACM SIGEVO.
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