Accacio Ferreira Dos Santos Neto
Papers
1
Total Citations
8
H-Index
1
About
Accacio Ferreira Dos Santos Neto is a researcher focused on computational intelligence and robotics, with key contributions in meta-heuristic optimization for autonomous navigation. His most cited work, "Ant Colony Optimization Algorithm and Artificial Immune System Applied to a Robot Route" (2019, 8 citations), introduces two powerful bio-inspired techniques—Ant Colony Optimization (ACO) and Artificial Immune System (AIS)—to solve route planning problems for robots. By drawing on the collective foraging behavior of ants and the adaptive defense mechanisms of the human immune system, Neto demonstrates how nature-inspired algorithms can efficiently find optimal paths in complex environments. This work highlights his ability to bridge theoretical meta-heuristics with practical robotic applications, offering scalable solutions for real-world navigation challenges. While his citation count is modest, his research contributes to the growing field of swarm intelligence and immune-inspired computing, providing a foundation for further studies in autonomous systems. Neto’s interdisciplinary approach underscores the potential of combining multiple algorithmic paradigms to enhance robotic decision-making and efficiency.
Research Focus
Key Achievements
Top Papers
- 1