| 期刊全稱 | Applied Simulation and Optimization 2 | | 期刊簡(jiǎn)稱 | New Applications in | | 影響因子2023 | Miguel Mujica Mota,Idalia Flores De La Mota | | 視頻video | http://file.papertrans.cn/161/160136/160136.mp4 | | 發(fā)行地址 | Presents techniques, case-studies, and methodologies that combine the use of simulation approaches with optimization techniques for problems in manufacturing, logistics, or aeronautical problems.Serve | | 圖書封面 |  | | 影響因子 | .Building on the author’s earlier?.Applied Simulation and Optimization,.?this book presents novel methods for solving problems in industry, based on hybrid simulation-optimization approaches that combine the advantages of both paradigms. The book serves as?a comprehensive guide to tackling?scheduling, routing problems, resource allocations and other issues in industrial environments, the service industry, production processes, or supply chains and aviation. Logistics, manufacturing and operational problems can either be modelled using optimization techniques or approaches based on simulation methodologies. Optimization techniques have the advantage of performing efficiently when the problems are properly defined, but they are often developed through rigid representations that do not include or accurately represent the stochasticity inherent in real systems. Furthermore, important information is lost during the abstraction process to fit each problem into theoptimization technique. On the other hand, simulation approaches possess high description levels, but the optimization is generally performed through sampling of all the possible configurations of the system. The methods explore | | Pindex | Book 2017 |
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