Meysa Idiri
Papers
1
Total Citations
3
H-Index
1
About
Meysa Idiri is a researcher specializing in bio-inspired optimization algorithms and computational search strategies, with a particular focus on Lévy walk processes. Her most cited work, "Lévy walk-based search strategy: Application to destructive foraging" (2018), introduces a novel search framework that leverages Lévy walk dynamics to enhance solution diversity in optimization problems. The key contribution lies in demonstrating how Lévy walks naturally balance exploration and exploitation—allowing algorithms to escape local optima while maintaining efficient global search. This approach has practical implications for destructive foraging scenarios, where the trade-off between thorough local search and broad exploration is critical. Although her citation count is modest, with 3 citations for this paper, the work represents a foundational contribution to understanding how stochastic movement patterns can improve algorithmic performance. Idiri’s research sits at the intersection of swarm intelligence, random walks, and metaheuristic optimization, offering insights that could benefit fields ranging from robotics to ecological modeling. Her work is particularly valuable for students and researchers interested in nature-inspired computation and the mathematical underpinnings of efficient search behaviors.
Research Focus
Key Achievements
Top Papers
- 1Lévy walk-based search strategy: Application to destructive foraging3 citations · 2018