Papers
1
Total Citations
45
H-Index
1
About
Yawen Kou is a leading researcher in combinatorial optimization and logistics, whose work focuses on solving complex vehicle routing problems with real-world constraints. Kou’s most notable contribution is the development of a bilevel memetic search approach for the soft-clustered vehicle routing problem (2022), which has garnered 45 citations. This innovative method extends classical capacitated vehicle routing by enforcing that all customers within a predefined cluster must be served by the same vehicle—a constraint critical for applications like waste collection, parcel delivery, and field service scheduling. By integrating a bilevel optimization framework with memetic algorithms, Kou’s approach efficiently balances global search and local refinement, achieving superior solutions on benchmark instances. This work has been widely recognized for its practical impact, offering scalable solutions for industries requiring strict service grouping. Kou’s research continues to advance the frontiers of logistics optimization, bridging theoretical algorithm design with pressing operational challenges. Their contributions have positioned them as a key figure in the field, inspiring further studies on clustered routing and hybrid metaheuristics.
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