사례기반추론 및 유전알고리즘을 활용한 건축물의 초기 유지관리 비용 예측을 위한 기초연구

Abstract

Building maintenance has been considered a crucial part of the life cycle of a building as the number of aged buildings is increasing globally. Many maintenance-related problems are known to occur in aged buildings, particularly in urban areas. The degradation incurred by the aging of the building can not only lead to excessive repair costs but also affect its usability and resident safety negatively. Thus, such buildings need to be properly managed using a systematic approach. To this end, it is crucial to predict the maintenance cost of building management as the first step. This research developed a model adopting case-based reasoning and a genetic algorithm to predict the maintenance cost. An experiment was conducted to test the applicability of the model.