Si-Jeong Ryu

Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Si-Jeong Ryu is a researcher whose work lies at the intersection of evolutionary computation, fuzzy systems, and decision support. Her key research areas include multiobjective optimization, quantum-inspired evolutionary algorithms, and fuzzy cognitive maps, with a focus on helping decision-makers navigate complex, non-dominated solution spaces. Her most notable contribution is the development of the dual multiobjective quantum-inspired evolutionary algorithm (DMQEA), which she integrated with fuzzy cognitive maps (FCM) to create the DMQEA-FCM approach. This novel algorithm enables users to select preferable solutions from a set of non-dominated alternatives, addressing a critical gap in preference-based decision support. The 2016 paper introducing this method has garnered 3 citations, reflecting its niche but meaningful impact in the field. Ryu’s work is particularly valuable for researchers and practitioners in operations research and artificial intelligence who seek more intuitive and effective tools for multi-criteria decision-making. By bridging evolutionary optimization with fuzzy logic, she has contributed to making complex decision processes more accessible and user-driven.