Development of Cooperative Optimization Method Based on Dynamic Rearrangement of Search Roles Between User and System

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This research proposed User-System Cooperative Evolution (CEUS), which allows a user to dynamically change search roles between the user and a system. CEUS was designed to solve design and planning problems which involve both implicit, ambiguous preferences and explicit optimization criteria. In general optimization methods, a role assignment between a user and system and timing of user operation were determined and not changed during the search. The proposed CEUS allows theuser to dynamically change search role allocation between the system and the user by user evaluation prediction and integration of interactive and non-interactive evolutionary computation, resulting in simultaneous optimization of qualitative and quantitative objective functions without increasing user fatigue.