Abstract
Based on the static equilibrium model of mooring system parameters, the multi - objective optimization model is established and the genetic algorithm is introduced as the optimization algorithm, which improves the crossover operator. Taking the example of a single point mooring system, concerned optimization design and calculation has been done. Compared with the general genetic algorithm, the result of this algorithm is superior, significantly improving the stability of the mooring system.
Highlights
The single point mooring system has been widely used in both ship navigation and the comprehensive utilization and development of Marine resources
The small changes of mooring system parameters can greatly affect the stability of the whole system, so a large number of experts have carried out relevant researches
Ming-wu Wang [1] established a two-dimensional model of the underwater buoy system and calculated relevant parameters according to static equilibrium; John [2] used catenary method and polygon approximation method for analysis and calculation; Xing-ping Xu [3] studied single point mooring system from the perspective of dynamics
Summary
The single point mooring system has been widely used in both ship navigation and the comprehensive utilization and development of Marine resources. Ming-wu Wang [1] established a two-dimensional model of the underwater buoy system and calculated relevant parameters according to static equilibrium; John [2] used catenary method and polygon approximation method for analysis and calculation; Xing-ping Xu [3] studied single point mooring system from the perspective of dynamics. Genetic algorithm is a kind of random searching method which is developed by the genetic mechanism of biology. It regards the possible solution in the problem as an individual in the group, and encodes it as a chromosome. The optimal individual in the optimal group can be found, which is the optimal solution for satisfying the requirements
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