文件名称：不确定规划理论与实践 第二版
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更新时间：2022-01-15 17:52:43
不确定 数学规划 智能算法
Real-life decisions are usually made in the state of uncertainty. How do we model optimization problems in uncertain environments? How do we solve these models? The main purpose of the book is just to provide uncertain programming theory to answer these questions. By uncertain programming we mean the optimization theory in uncer- tain environments. Stochastic programming, fuzzy programming and hybrid programming are subtopics of uncertain programming. This book provides a self-contained, comprehensive and up-to-date presen- tation of uncertain programming theory, including numerous modeling ideas and applications in system reliability design, project scheduling problem, vehicle routing problem, facility location problem, and machine scheduling problem.