Moradi mohammad hossein (7 risultati)
- Brossura
- Prima edizione
Da: ISD LLC, Bristol, CT, U.S.A.ISD LLC
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 79,43
Spedizione gratuitaSpedito in U.S.A.Quantità: 4 disponibili
paperback. Condizione: New. 1st.
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 107,71
EUR 2,31 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New.
- Brossura
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 110,11
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. The shipping industry handles over 90 % of the global trade volume and is responsible for approximately 3 % of global CO_2emissions. Meanwhile, trade by the shipping industry is expected to increase by up to 130 % by 2050 compared to 2008. At the same time, the goal is to reduce Green House… Gas (GHG) emissions from the shipping industry to half of the 2008 level by 2050. In support of this goal, this thesis is concerned with a comprehensive approach for optimizing the ship's operation, i.e., an optimization approach that simultaneously involves route selection, energy management, propeller pitch, and engine control. In addition, this thesis also analyses the application of wind propulsion systems. The optimization of the ship's operation is implemented in the form of Reinforcement Learning (RL) methods. The use of RL-based methods to simultaneously optimize various aspects of the ship's trajectory and controls is a novel approach compared to the current state-of-art and embodies this thesis' inherent innovation.The results specifically highlight the importance of parallelizing route optimization with the optimization of other control aspects.Ultimately, it is found that the solution emanating from a purely RL-based approach can be further enhanced when the optimized route, speed, and power profiles are used to perform individual DP-based optimizations on the energy management in a post-processing step. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 111,34
EUR 2,31 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: As New. Unread book in perfect condition.
- Brossura
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 114,18
EUR 9,50 spedizioneSpedito da Irlanda a U.S.A.Quantità: 2 disponibili
Condizione: New. 2024. Paperback. . . . . .
- Brossura
Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 145,19
EUR 9,20 spedizioneSpedito in U.S.A.Quantità: 2 disponibili
Condizione: New. 2024. Paperback. . . . . . Books ship from the US and Ireland.
- Brossura
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 195,53
EUR 32,42 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. The shipping industry handles over 90 % of the global trade volume and is responsible for approximately 3 % of global CO_2emissions. Meanwhile, trade by the shipping industry is expected to increase by up to 130 % by 2050 compared to 2008. At the same time, the goal is to reduce Green House… Gas (GHG) emissions from the shipping industry to half of the 2008 level by 2050. In support of this goal, this thesis is concerned with a comprehensive approach for optimizing the ship's operation, i.e., an optimization approach that simultaneously involves route selection, energy management, propeller pitch, and engine control. In addition, this thesis also analyses the application of wind propulsion systems. The optimization of the ship's operation is implemented in the form of Reinforcement Learning (RL) methods. The use of RL-based methods to simultaneously optimize various aspects of the ship's trajectory and controls is a novel approach compared to the current state-of-art and embodies this thesis' inherent innovation.The results specifically highlight the importance of parallelizing route optimization with the optimization of other control aspects.Ultimately, it is found that the solution emanating from a purely RL-based approach can be further enhanced when the optimized route, speed, and power profiles are used to perform individual DP-based optimizations on the energy management in a post-processing step. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
