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Consideration of the preferences of multiple group members is a fundamental requirement for tour route planning. This paper describes the implementation of a tour route planning support system to simplify the planning process. The system recommends combinations of tourist attractions for a group considering the preferences of group members. First, a Kansei database linking tourist attractions and their characteristics is constructed based on the results of Kansei evaluation experiments. Next, the system is implemented using an evolutionary algorithm with the Kansei database. After the implementation, performance of the system is verified using several test samples. The results demonstrate that our system has sufficient ability to propose appropriate and wide variety of tourist attractions.