A genetic algorithm-based grey-box model for ship fuel consumption prediction towards sustainable shipping

Author:

Yang LiqianORCID,Chen Gang,Rytter Niels Gorm Malý,Zhao Jinlou,Yang Dong

Funder

Innovationsfonden

Fundamental Research Funds for the Central Universities

China Scholarship Council

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Decision Sciences

Reference69 articles.

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2. Aldous, L. G. (2016). Ship operational efficiency: performance models and uncertainty analysis. Ph.D. thesis, Department of Mechanical Engineering, University College London, London, United Kingdom.

3. Bal Beşikçi, E., Arslan, O., Turan, O., & Ölçer, A. I. (2016). An artificial neural network based decision support system for energy efficient ship operations. Computers & Operations Research, 66, 393–401.

4. Baldi, F. (2016). Modelling, analysis and optimisation of ship energy systems. Ph.D. thesis, Department of Shipping and Marine Technology, Chalmers University of Technology, Gothenburg, Sweden.

5. Bertram, V. (2012). Practical ship hydrodynamics (2nd ed.). Oxford: Butterworth-Heinemann.

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