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Design of a Dynamic Route Optimisation Algorithm for Ships

Norouznezhad Kenari, Amir Fazel | 2023

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 56722 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s):
  7. Abstract:
  8. Marine transportation is an essential aspect of global trade, as it is responsible for transporting large quantities of goods and commodities between different countries and continents. The efficient optimization of shipping routes can greatly reduce operational costs, save time, and increase the overall competitiveness of the maritime industry. One of the most critical aspects of route optimization is the selection of the most efficient path, taking into account various constraints such as fuel consumption, voyage duration, vessel speed, and port constraints. The PSO algorithm has been successfully applied to a variety of optimization problems, including the optimization of marine routes. In marine route optimization, the PSO algorithm can be used to find the optimal route that minimizes various objective functions, such as fuel consumption, voyage duration, and total cost. The algorithm can also be used to incorporate various constraints, such as vessel speed, port arrival and departure times, and vessel draft limitations. In conclusion, the optimization of marine routes is an important aspect of the maritime industry, and PSO is a powerful optimization algorithm that has been successfully applied to this problem
  9. Keywords:
  10. Trajectory Optimization ; Traveling Salesman Problem ; Particles Swarm Optimization (PSO) ; Greenhouse Gases ; Fuel Consumption ; Optimal Trajectory Planning ; Fuel Consumption Optimization

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