基于GA的大型船舶制造企业风险管理研究

介绍了运用遗传算法（GA）解决实际问题通常包括的步骤。探讨了散货船船体吊装顺序优化，建立了在给定周期下实现成本最小的目标函数，提出了一种改进GA来求解全局最优或者次优的装配顺序，采用了整数编码、单点交叉方法和新的变异方式。采用了最小偏差法，构造了FPSO船型优化的统一目标函数，采用了实数编码，以容量最大、造价最小为目标进行了多目标优化。

Risk Management of Large Shipbuilding Enterprises Based on GA

The general steps using genetic algorithm （GA） to solve practical problems are introduced. The optimization of the bulk carrier hull hoisting order is performed. The objective function realizing the minimum cost under given period is built. An improved GA is put forward, which adopts the techniques of integer code, one-point crossover and new mutation way, to obtain the assembly order which is globally most superior or secondary supenor The unified objective function of an FPSO＇s principal parameters is constructed using minimum-deviation method. The multi-objective optimization with the targets of biggest capacity and smallest construction cost is camed out by real number code.