Optimization Model for Initial Planning and Adaptive Modification

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We have considered the optimization models for initial planningand adaptive modification for uncertainty. We treated various problems appeared in a realworld to characterize the mathematical models to be used and uncertain factors appeared in these problems, systematically. The time space network and mixed integer programming technique are mainly utilized to the proposed adaptive optimization model. We have proposed the optimization models and their solution algorithms for several practical problems including various uncertain factors, such as a risk-adaptive project scheduling, a charge scheduling system for electric vehicles, an energy management system for smart house, an integrated scheduling system for production planning and automatic guided vehicle routing, and a recommendation system of sightseeing route.