Razieh Moradi

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About

Razieh Moradi is a researcher in swarm robotics and bio-inspired optimization, with a focus on task allocation in multi-robot systems. Her most-cited work introduces a Modified Distributed Bee Algorithm (MDBA) that enhances task allocation efficiency in swarm robotics by incorporating a tournament selection mechanism to improve decision-making among robots. This contribution addresses a critical challenge in coordinating large robot teams without centralized control. With 4 citations, her paper has laid groundwork for further exploration of distributed intelligence in robotics. Moradi’s research bridges biological inspiration and engineering, offering practical solutions for autonomous systems in dynamic environments. Her work is particularly relevant for students and researchers interested in swarm intelligence, multi-agent coordination, and optimization algorithms. By refining how robots select and execute tasks, Moradi contributes to the broader goal of creating more adaptive and scalable robotic swarms, with potential applications in search-and-rescue, exploration, and industrial automation.