Xiaona Hu^1,2, Shan Ji³, Hao Hua⁴, Baiqing Zhou^1,*, Gang Hu⁵

Computer Systems Science and Engineering, Vol.43, No.3, pp. 1285-1296, 2022, DOI:10.32604/csse.2022.029230

Abstract Berth and loading and unloading machinery are not only the main factors that affecting the terminal operation, but also the main starting point of energy saving and emission reduction. In this paper, a genetic Algorithm Framework is designed for the berth allocation with low carbon and high efficiency at bulk terminal. In solving the problem, the scheduler’s experience is transformed into a regular way to obtain the initial solution. The individual is represented as a chromosome, and the sub-chromosomes are encoded as integers, the roulette wheel method is used for selection, the two-point crossing method is used for cross, and… More >

Xiaona Hu^1,2, Baiqing Zhou^1,*, Jinyue Xia³, Yao Chen⁴, Gang Hu⁵

Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1801-1813, 2022, DOI:10.32604/iasc.2022.027034

Abstract With the global warming to the survival and development of mankind, more and more attention is paid to low-carbon, green and energy-saving production. As one of the main modes of international transportation, the wharf has been facing a serious problem of its high carbon-emission. In order to balance the relationship between port energy consumption and efficiency, it is necessary to study the berth allocation, loading and unloading of bulk terminal from the perspective of energy saving with the proposal of energy saving and emission reduction in China. Both energy saving and efficiency can be achieved at the bulk terminal in… More >