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Theory and Practice of Uncertain Programming


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It includes a variety of modeling ideas, hybrid intelligent algorithms, and various applications in transportation problem, inventory system, facility location & allocation, capital budgeting, topological optimization, vehicle routing problem, redundancy optimization, and scheduling. Researchers, practitioners and students in operations research, management science, information science, systems science, and engineering will find this work stimulating and useful reference.

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