Joint Optimization of Route and Speed for Methanol Dual-Fuel Powered Ships Based on Improved Genetic Algorithm DOI Creative Commons
Li Zhao, Hao Zhang, Jinfeng Zhang

et al.

Big Data and Cognitive Computing, Journal Year: 2025, Volume and Issue: 9(4), P. 90 - 90

Published: April 8, 2025

Effective route and speed decision-making can significantly reduce vessel operating costs emissions. However, existing optimization methods developed for conventional fuel-powered vessels are inadequate application to methanol dual-fuel ships, which represent a new energy type. To address this gap, study investigates the operational characteristics of liners develops mixed-integer nonlinear programming (MINLP) model aimed at minimizing costs. Furthermore, an improved genetic algorithm (GA) integrated with Nonlinear Programming Branch-and-Bound (NLP-BB) method is proposed solve model. The case results demonstrate that approach by more than 15% compared strategies while also effectively decreasing emissions CO2, NOx, SOx, PM, CO. Additionally, comparative experiments reveal designed outperforms both GA Linear Interactive General Optimizer (LINGO) solver identifying optimal solutions. This research provides critical insights into dynamics vessels, demonstrating traditional fuel not directly applicable. voyage It further elucidates impact tank capacity on planning, revealing larger capacities offer greater flexibility economic performance. These findings provide valuable guidance shipping companies in strategically planning operations, enhancing efficiency reducing

Language: Английский

Integrated Green Technology Adoption, Ship Speed Optimization and Slot Management for Shipping Alliance under Emission Limits and Uncertain Fuel Prices DOI Creative Commons

Yuyun Gu,

Yadong Wang, Çağatay Iris

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144939 - 144939

Published: Feb. 1, 2025

Language: Английский

Citations

1
Joint Optimization of Route and Speed for Methanol Dual-Fuel Powered Ships Based on Improved Genetic Algorithm DOI Creative Commons
Li Zhao, Hao Zhang, Jinfeng Zhang

et al.

Big Data and Cognitive Computing, Journal Year: 2025, Volume and Issue: 9(4), P. 90 - 90

Published: April 8, 2025

Effective route and speed decision-making can significantly reduce vessel operating costs emissions. However, existing optimization methods developed for conventional fuel-powered vessels are inadequate application to methanol dual-fuel ships, which represent a new energy type. To address this gap, study investigates the operational characteristics of liners develops mixed-integer nonlinear programming (MINLP) model aimed at minimizing costs. Furthermore, an improved genetic algorithm (GA) integrated with Nonlinear Programming Branch-and-Bound (NLP-BB) method is proposed solve model. The case results demonstrate that approach by more than 15% compared strategies while also effectively decreasing emissions CO2, NOx, SOx, PM, CO. Additionally, comparative experiments reveal designed outperforms both GA Linear Interactive General Optimizer (LINGO) solver identifying optimal solutions. This research provides critical insights into dynamics vessels, demonstrating traditional fuel not directly applicable. voyage It further elucidates impact tank capacity on planning, revealing larger capacities offer greater flexibility economic performance. These findings provide valuable guidance shipping companies in strategically planning operations, enhancing efficiency reducing

Language: Английский

Citations

0