All Outputs (3)

Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter (2024)
Journal Article
Tsompanas, M., & Balaz, I. (2024). Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter. Frontiers in Robotics and AI, 11, Article 1337722. https://doi.org/10.3389/frobt.2024.1337722

Biohybrid machines (BHMs) are an amalgam of actuators composed of living cells with synthetic materials. They are engineered in order to improve autonomy, adaptability and energy efficiency beyond what conventional robots can offer. However, designin... Read More about Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter.

Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators (2024)
Conference Proceeding
Tsompanas, M. A. (2024). Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators. In Applications of Evolutionary Computation (275-289). https://doi.org/10.1007/978-3-031-56855-8_17

One of the training methods of Artificial Neural Networks is Neuroevolution (NE) or the application of Evolutionary Optimization on the architecture and weights of networks to fit the target behaviour. In order to provide competitive results, three k... Read More about Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators.

Improving search space analysis of fuzzing mutators using cryptographic structures (2023)
Conference Proceeding
Chafjiri, S. B., Legg, P., Tsompanas, M., & Hong, J. (in press). Improving search space analysis of fuzzing mutators using cryptographic structures. In Lecture Notes in Network Security

This paper introduces a novel approach to enhance the performance of software fuzzing mutator tools, by leveraging cryptographic structures known as substitution-permutation networks and Feistel networks. By integrating these structures into the exis... Read More about Improving search space analysis of fuzzing mutators using cryptographic structures.