Abstract
This paper introduces a backtracking algorithm for the fuel optimization of an offshore supply tugboat. The aim is to determine the optimal cruising speed that minimizes fuel use under operational constraints. Many older vessels in local offshore regions face limitations in adopting new fuel efficient technologies due to financial constraints. Hence, alternative cost-effective methods are needed to improve energy use and reduce emissions from these older ships. We propose using a backtracking algorithm to systematically explore all potential speed solutions and find the optimal one. Operational constraints like time restrictions and weather factors are incorporated during the optimization. The algorithm branches out to potential solutions and backtracks when they violate constraints. This allows for the pruning of infeasible solutions to improve the computational efficiency. The study provides the basis for optimizing offshore voyages as a sustainable transportation activity. Further work could expand the technique by adding parameters and real-time data.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.