Position Papers of the 20th Conference on Computer Science and Intelligence Systems

DOI: http://dx.doi.org/10.15439/2025F5892

Citation: Position Papers of the 20th Conference on Computer Science and Intelligence Systems, M. Bolanowski, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 44, pages 37–40 (2025)

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Abstract. In this paper we present a constructive genetic programming based constructive algorithm with penalty function for a concurrent real-time optimization in embedded system design process. Proposed approach uses genetic programming mechanism to optimize detecting and assignment of unexpected tasks process in embedded system design. Unlike others methodologies the approach described in this paper uses penalty function in optimization process. As a result during the evolution generations of individuals can also contain solutions which violate time constraints. Thus the approach is more proof to stop in local minima of optimizing parameters. Therefore the final result could be better adapted to the environment and the optimization process can be cheaper and more effective.

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