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Application of Improved Multi-Objective Ant Colony Optimization Algorithm in Ship weather routing

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Journal of Ocean University of China 2021年第1期20卷 45-55页

作者： ZHANG Guangyu WANG Hongbo ZHAO Wei GUAN Zhiying LI Pengfei State Key Laboratory on Integrated Optoelectronics College of Electronic Science and EngineeringJilin UniversityChangchun 130012China CRRC Changchun Railway Vehicles Co. Ltd.Changchun 130000China

This paper presents a novel intelligent and effective method based on an improved ant colony optimization(ACO)algorithm to solve the multi-objective ship weather routing optimization problem,considering the navigation safety,fuel consumption,and sailing *** the improvement of the ACO algorithm is mainly reflected in two ***,to make the classical ACO algorithm more suitable for long-distance ship weather routing and plan a smoother route,the basic parameters of the algorithm are improved,and new control factors are ***,to improve the situation of too few Pareto non-dominated solutions generated by the algorithm for solving multi-objective problems,the related operations of crossover,recombination,and mutation in the genetic algorithm are introduced in the improved ACO *** final simulation results prove the effectiveness of the improved algorithm in solving multi-objective weather routing optimization *** addition,the black-box model method was used to study the ship fuel consumption during a voyage;the model was constructed based on an artificial neural *** parameters of the neural network model were refined repeatedly through the historical navigation data of the test ship,and then the trained black-box model was used to predict the future fuel consumption of the test *** with other fuel consumption calculation methods,the black-box model method showed higher accuracy and applicability.

关键词： multi-objective optimization weather routing ACO algorithm fuel consumption

Ship weather routing Based on Hybrid Genetic Algorithm Under Complicated Sea Conditions

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Journal of Ocean University of China 2023年第1期22卷 28-42页

作者： ZHOU Peng ZHOU Zheng WANG Yan WANG Hongbo State Key Laboratory on Integrated Optoelectronics College of Electronic Science and EngineeringJilin UniversityJilin 130012China

Considering the effects of increased economic globalization and global warming,developing methods for reducing shipping costs and greenhouse gas emissions in ocean transportation has become *** to its key role in modern navigation technology,ship weather routing is the research focus of several scholars in this *** study presents a hybrid genetic algorithm for the design of an optimal ship route for safe transoceanic navigation under complicated sea *** the basis of the basic genetic algorithm,simulated annealing algorithm is introduced to enhance its local search ability and avoid premature convergence,with the ship’s voyage time and fuel consumption as optimization ***,a mathematical model of ship weather routing is developed based on the grid system.A measure of fitness calibration is proposed,which can change the selection pressure of the algorithm as the population *** addition,a hybrid crossover operator is proposed to enhance the ability to find the optimal solution and accelerate the convergence speed of the ***,a multi-population technique is applied to improve the robustness of the algorithm using different evolutionary strategies.

关键词： genetic algorithm simulated annealing algorithm weather routing ship speed loss

Research on weather routing Based on the Mobile Internet

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Meteorological and Environmental Research 2018年第4期9卷 55-60页

作者： Li Jian Deng Chuang Zheng Weicai Wei Chen Zhejiang Meteorological Service Center Hangzhou 310017 China

The combination and application of the mobile internet techniques with the weather radar monitoring data and the numerical weather pre-diction data were introduced, and the smart phone weather routing application software for both land and aquatic traffic safety, which is equipped with the function of analysis and warning of disastrous weather, was developed to reduce potential weather risks encountered during the journey as much as possible.

关键词： Traffic weathe weather routing Automobile navigation Ship navigation Mobile internet

Ship speed power performance under relative wind profiles in relation to sensor fault detection

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Journal of Ocean Engineering and Science 2018年第4期3卷 355-366页

作者： Lokukaluge P.Perera B.Mo UiT The Arctic University of Norway TromsoNorway SINTEF Ocean TrondheimNorway

Statistical data analysis and visualization approaches to identify ship speed power performance under relative wind(*** wind)profiles are considered in this *** performance and navigation data of a selected vessel are analyzed,where various data anomalies,*** related erroneous data conditions,are *** erroneous data conditions are investigated and several approaches to isolate such situations are also presented by considering appropriate data visualization ***,the cleaned data are used to derive various relationships among ship performance and navigation parameters that have been visualized in this study,*** results show that the wind profiles along ship routes can be used to evaluate vessel performance and navigation conditions by assuming the respective sea states relate to their wind ***,the results are useful to derive appropriate mathematical models that represent ship performance and navigation *** mathematical models can be used for weather routing type applications(*** planning),where the respective weather forecast can be used to derive optimal ship routes to improve vessel performance and reduce fuel *** study presents not only an overview of statistical data analysis of ship performance and navigation data but also the respective challenges in data anomalies(*** data intervals and sensor faults)due to onboard sensors and data handling ***,the respective solutions to such challenges in data quality have also been presented by considering data visualization approaches.

关键词： Speed power performance Data anomaly detection Sensor fault identification weather routing Statistical data analysis Ship wind profile.

T_GRASP: Optimization Algorithm of Ship Avoiding Typhoon Route

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Journal of Quantum Computing 2022年第2期4卷 85-95页

作者： Yingxian Huang Xueyan Ding Yanan Zhang Leiming Yan Nanjing University of Information Science&Technology Nanjing210044China

AGRASP-based algorithm called T_GRASP for avoiding typhoon route optimization is suggested to increase the security and effectiveness of ship *** of the worst natural calamities that can disrupt a ship’s navigation and result in numerous safety mishaps is a ***,the captains manually review the collected weather data and steer clear of typhoons using their navigational *** distribution of heavy winds andwaves produced by the typhoon also changes dynamically as a result of the surrounding large-scale air pressure distribution,which significantly enhances the challenge of the captain’s preparation for avoiding typhoon *** is now necessary to find a solution to the challenge of designing a highsafety and effective ship navigation path to avoid *** T_GRASP algorithm is suggested to optimize the candidate set’s structure based on the GRASP algorithm’s *** algorithm can guarantee the safety of the ship to avoid typhoons and assure high route efficiency by using the lowest risk function,the shortest sailing time,and the least fuel consumption as the objective functions and the ship speed and highest safety as the model *** outcomes of the simulation demonstrate the superiority of the suggested T_GRASP algorithm over both the conventional A∗algorithm and the ant colony *** addition to addressing issues with the traditional A∗algorithm,like its wide search space and poor efficiency,the proposed algorithm also addresses issues with the ant colony algorithm,like its excessive iterations and sluggish convergence.

关键词： Ship voyage optimization weather routing avoiding typhoon A∗ grasp ant colony algorithm

Operational Options for Green Ships

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Journal of Marine Science and Application 2012年第3期11卷 335-340页

作者： Salma Sherbaz Wenyang Duan College of Shipbuilding Engineering Harbin Engineering University Harbin 150001 China

Environmental issues and rising fuel prices necessitate better energy-etlicwncy in all sectors, The shipping industry is one of the major stakeholders, responsible for 3% of global CO2 emissions, 14%-15% of global NOx emissions, and 16% of global SOx emissions. In addition, continuously rising fuel prices are also an incentive to focus on new ways for better energy-effectiveness. The green ship concept requires exploring and implementing technology on ships to increase energy-efficiency and reduce emissions. Ship operation is an important topic with large potential to increase cost-and-energy-effectiveness. This paper provided a comprehensive review of basic concepts, principles, and potential of operational options for green ships. The key challenges pertaining to ship crew i.e. academic qualifications prior to induction, in-service training and motivation were discussed. The author also deliberated on remedies to these challenges.

关键词： green ship ship operational efficiency weather routing slow steaming trim optimization