Metaheuristics for Maritime Operations
By: Homayouni, Mahdi S.
Material type: TextPublisher: USA Wiley 2018Edition: Vol - I.Description: xi, 208p.ISBN: 9781786302809.DDC classification: 387.50285 Summary: Metaheuristic Algorithms in Maritime Operations Optimization focuses on the seaside and port side problems regarding the maritime transportation. The book reviews and introduces the most important problems regarding the shipping network design, long-term and short-term scheduling and planning problems in both bulk and container shipping as well as liquid maritime transportation. Application of meta heuristic algorithm is important for these problems, as most of them are hard and time-consuming to be solved optimally.'Item type | Current location | Collection | Shelving location | Call number | Status | Notes | Date due | Barcode |
---|---|---|---|---|---|---|---|---|
Books | IMU-MPC Library | Non-fiction | General Stacks | 387.50285 HOM (Browse shelf) | Available | Column-24 | MPC6774 |
Browsing IMU-MPC Library Shelves , Shelving location: General Stacks , Collection code: Non-fiction Close shelf browser
387.5 MAC The shipmaster's business companion | 387.5 RIC Combined transport documents: a handbook of contracts for the combined transport industry | 387.5 WAG Liner Ship Fleet Planning : models and algorithms | 387.50285 HOM Metaheuristics for Maritime Operations | 387.50289 TNI Managing Safety and Quality in Shipping | 387.506041 PLU A nautical odyssey | 387.5068 PAN The Routledge Handbook of Maritime Management |
Metaheuristic Algorithms in Maritime Operations Optimization focuses on the seaside and port side problems regarding the maritime transportation. The book reviews and introduces the most important problems regarding the shipping network design, long-term and short-term scheduling and planning problems in both bulk and container shipping as well as liquid maritime transportation. Application of meta heuristic algorithm is important for these problems, as most of them are hard and time-consuming to be solved optimally.'
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