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Lily Wong is a lecturer at the School of Engineering, Monash University Malaysia. Her main research interest lies in Applied Mathematics, particularly in Operations Research. She focuses on modifying Ant Colony Optimization (ACO) algorithms to solve problems related to supply chain management. In addition to ACO, her research interests extend to metaheuristics, evolutionary computing methods, and swarm intelligence algorithms, such as the Artificial Bee Colony (ABC) and Genetic Algorithm (GA). Wong's current research focuses on solving Supply Chain Management (SCM) issues, which include controlling the flow of commodities through innovative optimization techniques that integrate various supply chain components, such as inventory, routing, and production. Her recent work involves utilizing modified Ant Colony Optimization to address the Inventory Routing Problem (IRP), which encompasses the integration of inventory management and transportation. Wong is also interested in other operational research problems, including the Location Routing Problem, Network Routing Problem, and Job-shop Scheduling Problem. She is dedicated to developing algorithms that effectively address challenges in Operations Research.
Monash University Malaysia • Malaysia
Teaching and research responsibilities in the field of applied mathematics and operations research.
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