Emanuele Stomeo
Papers
1
Total Citations
6
H-Index
1
About
Emanuele Stomeo is a researcher in the field of evolvable hardware (EHW), a domain that applies evolutionary algorithms (EAs) to the automatic design of circuits, antennas, and robot controllers. His work focuses on overcoming key challenges in EHW, particularly scalability and evolvability. In his most cited paper, "Chose The Right Mutation Rate For Better Evolve Combinational Logic Circuits" (2008, 6 citations), Stomeo demonstrates how fine-tuning mutation rates can significantly improve the performance of evolutionary algorithms in designing combinational logic circuits. This contribution highlights his expertise in optimizing EA parameters to enhance circuit evolution, addressing a critical bottleneck in the field. While his citation count reflects a niche but impactful contribution, Stomeo’s research provides practical insights for researchers tackling scalability issues in EHW. His work underscores the importance of parameter selection in evolutionary design, offering a foundation for more efficient automated circuit synthesis. For students and researchers exploring EHW, Stomeo’s findings serve as a valuable reference for improving evolutionary algorithm performance in hardware design.
Research Focus
Key Achievements
Top Papers
- 1