Theory and practice of uncertain programming

摘要: Real-life decisions are usually made in the state of uncertainty such as randomness and fuzziness. How do we model optimization problems uncertain environments? solve these models? In order to answer questions, this book provides a self-contained, comprehensive up-to-date presentation programming theory, including numerous modeling ideas, hybrid intelligent algorithms, applications system reliability design, project scheduling problem, vehicle routing facility location machine problem. Researchers, practitioners students operations research, management science, information engineering will find work stimulating useful reference.