Chia-Wei Yeh
Papers
1
Total Citations
7
H-Index
1
About
Chia-Wei Yeh is a researcher in multi-agent systems and optimization, with a primary focus on solving complex coordination problems through bio-inspired algorithms. Their most notable contribution is the development of a Double-Layered Ant Colony Optimization approach for the coalition structure generation problem, a critical challenge in multi-agent systems where efficient cooperation among numerous agents is essential for mission completion. This work, published in 2016 and cited 7 times, addresses a problem with broad applications in sensor networks, multi-robot coordination, and other distributed systems. By leveraging ant colony optimization, Yeh introduced a novel method that improves the efficiency of forming optimal agent coalitions, directly impacting how autonomous systems collaborate in dynamic environments. Their research bridges theoretical optimization with practical multi-agent challenges, offering scalable solutions for real-world deployments. Yeh’s work is particularly relevant for students and researchers exploring swarm intelligence, distributed problem-solving, and the intersection of nature-inspired algorithms with multi-agent coordination.
Research Focus
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Top Papers
- 1