Applying an improved particle swarm optimization algorithm to ship energy saving

Shi, 2008, Comparison study on moving and transportation performance of transportation modes, Int J Energy Environ, 2, 179 2022 Wang, 2018, Optimizing ship energy efficiency: application of particle swarm optimization algorithm, Proc IME M J Eng Marit Environ, 232, 379 Beşikçi, 2016, An application of fuzzy-AHP to ship operational energy efficiency measures, Ocean Eng, 121, 392, 10.1016/j.oceaneng.2016.05.031 Kai, 2019, An energy efftciency optimization methodfor inland ship fleet considering multiple influencing factors, 1263 Yan, 2019 De, 2016, Composite particle algorithm for sustainable integrated dynamic ship routing and scheduling optimization, Comput Ind Eng, 96, 201, 10.1016/j.cie.2016.04.002 Mccracken, S., & Buckingham, J.. The benefits of ship waste heat recovery using A supercritical organic rankine cycle. Shen, 2011, Technology for the exhaust heat recovery on large containership, thermo efficiency system, Ship Engineering Yan, 2018, Energy-efficient shipping: an application of big data analysis for optimizing engine speed of inland ships considering multiple environmental factors, Ocean Eng, 169, 457, 10.1016/j.oceaneng.2018.08.050 Veneti, 2017, Minimizing the fuel consumption and the risk in maritime transportation: a bi-objective weather routing approach, Comput Oper Res, 88, 220, 10.1016/j.cor.2017.07.010 Sun, 2013, Analysis of the operational energy efficiency for inland river ships, Transport Res Transport Environ, 22, 34, 10.1016/j.trd.2013.03.002 Zhao, 2021, Multicriteria ship route planning method based on improved particle swarm optimization-genetic algorithm, J Mar Sci Eng, 9, 357, 10.3390/jmse9040357 Ma, 2020 Candeloro, 2017, Control engineering practice A Voronoi-diagram-based dynamic path-planning system for underactuated, Control Eng Pract, 61, 41, 10.1016/j.conengprac.2017.01.007 Norstad, 2011, Tramp ship routing and scheduling with speed optimization, Transport Res C Emerg Technol, 19, 853, 10.1016/j.trc.2010.05.001 Wang, 2018, Dynamic optimization of ship energy efficiency considering time-varying environmental factors, Transport Res Transport Environ, 62, 685, 10.1016/j.trd.2018.04.005 Ma, 2009, Mobile robot path planning with complex constraints based on the second-order oscillating particle swarm optimization algorithm, vol. 5, 244 Kennedy, 2006, Swarm intelligence, 187 Eberhart, 2000, Comparing inertia weights and constriction factors in particle swarm optimization, vol. 1, 84 Song, 2021, An improved PSO algorithm for smooth path planning of mobile robots using continuous high-degree Bezier curve, Appl Soft Comput, 100, 10.1016/j.asoc.2020.106960 Lin, 2018, The simulation of east-bound transoceanic voyages according to ocean-current sailing based on Particle Swarm Optimization in the weather routing system, Mar Struct, 59, 219, 10.1016/j.marstruc.2018.02.001 Liu, 2013, Effects of pilot fuel quantity on the emissions characteristics of a CNG/diesel dual fuel engine with optimized pilot injection timing, Appl Energy, 110, 201, 10.1016/j.apenergy.2013.03.024 Molina, 2014, Development of a control-oriented model to optimise fuel consumption and NOx emissions in a DI diesel engine, Appl Energy, 119, 405, 10.1016/j.apenergy.2014.01.021 Guan, 2014, Computational investigation of a large containership propulsion engine operation at slow steaming conditions, Appl Energy, 130, 370, 10.1016/j.apenergy.2014.05.063 Faber, 2010 Song, 2017, A multi-layered fast marching method for unmanned surface vehicle path planning in a time-variant maritime environment, Ocean Eng, 129, 301, 10.1016/j.oceaneng.2016.11.009 Xiujuan, 2008, The aircraft departure scheduling based on second-order oscillating particle swarm optimization algorithm, 1399 Piscopo, 2015, The overall motion sickness incidence applied to catamarans, Int J Nav Archit Ocean Eng, 7, 655, 10.1515/ijnaoe-2015-0046 Zaccone, 2018, Ship voyage optimization for safe and energy-efficient navigation: a dynamic programming approach, Ocean Eng, 153, 215, 10.1016/j.oceaneng.2018.01.100 Vettor, 2016, Development of a ship weather routing system, Ocean Eng, 123, 1, 10.1016/j.oceaneng.2016.06.035 Holtrop, 1982, An approximate power prediction method, Int Shipbuild Prog, 29, 166, 10.3233/ISP-1982-2933501 Kwon, 2008, Speed loss due to added resistance in wind and waves, Nav Archit, 3, 14 Hu, 1986, The influence of shallow water channel and narrow channel on ship resistance, Water Transp. Eng., 6, 27 Du, 2021, Estimation of ship routes considering weather and constraints, Ocean Eng, 228, 10.1016/j.oceaneng.2021.108695 Li, 2007, Calculating ship residuary resistance coefficient based on lap-keller chart, Dalian Haishi Daxue Xuebao/journal of Dalian Maritime University, 33, 25 Sadat-Hosseini, 2013, CFD verification and validation of added resistance and motions of KVLCC2 with fixed and free surge in short and long head waves, Ocean Eng, 59, 240, 10.1016/j.oceaneng.2012.12.016 Liu, 2011, Prediction of added resistance of ships in waves, Ocean Eng, 38, 641, 10.1016/j.oceaneng.2010.12.007 Liu, 2016, Fast approach to the estimation of the added resistance of ships in head waves, Ocean Eng, 112, 211, 10.1016/j.oceaneng.2015.12.022 2014, Recommended procedures and guidelines, speed and power trials, part 2 analysis of speed/power trial data, 7 Liu, 2019, On the resistance and speed loss of full type ships in a seaway, Ship Technol Res, 66, 161, 10.1080/09377255.2019.1613294 Lewis, 1989 Wang, 2016, Real-time optimization of ship energy efficiency based on the prediction technology of working condition, Transport Res Transport Environ, 46, 81, 10.1016/j.trd.2016.03.014 Bernitsas, 1981 A, 2017, Estimation of added resistance and ship speed loss in a seaway, Ocean Eng, 141, 465, 10.1016/j.oceaneng.2017.06.051 Krata, 2018, Ship weather routing optimization with dynamic constraints based on reliable synchronous roll prediction, Ocean Eng, 150, 124, 10.1016/j.oceaneng.2017.12.049 Mitchell, 1998 Dorigo, 2006, Ant colony optimization, IEEE Comput Intell Mag, 1, 28, 10.1109/MCI.2006.329691 Kirkpatric, 1983, Optimization by simulated annealing, Science, 220, 671, 10.1126/science.220.4598.671 Kennedy, 1995, vol. 4, 1942, 10.1109/ICNN.1995.488968 Molga, 2005, Test functions for optimization needs, Test functions for optimization needs, 101, 48 Van Rossum, 2007, Python Programming language, vol. 41, 1 Hinnenthal, 2008, Robust pareto-optimum routing of ships utilizing deterministic and ensemble weather forecasts MAN B&W 7G80ME-C9.5, 2017. MAN Energy & Systems. https://marine.man-es.com, Accessed date: 16 June 2017. International Organization for Standardization. ISO 8217: 2010, Petroleum products Fuels (class F)-Specifications for marine fuels.