Research on Quick Decision Technology of Liquid Cargo Supply’s Program

The liquid cargo replenishment decision based on ship’s stability, strength and the floating state is a multiobjective optimization problem. The mathematical model of multi-objective is built in this paper. Aiming to obtain the feasible solution, the adaptive step ergodic of permutation and combination is applied in terms of the cargo oil tank and the water ballast tank. particle swarm optimization (PSO) algorithm is applied into the project. On the basis of constraint conditions, the multi-objective optimization function is proved and take it into real operating mode for calculation and analysis. Improved objective function that is built based on multi-objective mathematical model. Taking real calculation example to verify the effectiveness of improved function and PSO algorithm. The result is good and the time complexity and mathematical precision are both improved effectively.