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- W4383558085 abstract "Abstract In previous port studies, most researchers have only considered individual optimisation and very few studies have reduced carbon emissions. To solve this problem, this paper considers carbon emissions, maximum completion time and minimisation of the distance from the berthing location to its corresponding yard area for the entire period in a unified manner for the automated terminal as a whole while considering berth allocation, bridge crane allocation and yard allocation simultaneously. For solving this multi-objective non-linear mixed integer programming model, an improved Harris Hawk Optimisation algorithm (HHO) is used to solve the model and compared with improved genetic algorithms and particle swarm algorithms, along with sensitivity analysis. The experimental results show that the improved HHO algorithm is able to find a better solution in a smaller number of iterations and in a shorter total time compared to the traditional algorithm. The sensitivity analysis also shows that increasing the length of the shoreline with the same number of ships not only reduces the total cost but also increases the speed of solving the model, unless the number of quay cranes is extremely tight, which is generally not recommended to increase their number." @default.
- W4383558085 created "2023-07-08" @default.
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- W4383558085 date "2023-07-07" @default.
- W4383558085 modified "2023-10-18" @default.
- W4383558085 title "Collaborative multi-objective port allocation scheduling considering carbon emissions" @default.
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- W4383558085 doi "https://doi.org/10.21203/rs.3.rs-3136158/v1" @default.
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