Optimization Model for Initial Planning and Adaptive Modification

我们考虑了初始规划和不确定性自适应修正的优化模型。我们处理了现实世界中出现的各种问题，系统地描述了所使用的数学模型和这些问题中出现的不确定因素。该自适应优化模型主要利用了时空网络和混合整数规划技术。针对风险自适应项目调度、电动汽车充电调度系统、智能家居能源管理系统、生产计划与自动引导车辆路径的集成调度系统、观光路线推荐系统等几个包含各种不确定因素的实际问题，提出了优化模型及其求解算法。

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.