Global and Local Optimization Method to Determine RoRo’s Principle Particulars

Hasanudin, A. Baidowi
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Abstract

: The determination the principal particulars of RoRo in design stage has crucial influence to technical and economic performance. This Global and Local (GOLOC) optimization is able to provide optimum principal particulars. The global optimization is used to obtain optimum value of the global objective function and the local is used to find the local optimization value. GOLOC method requires two stages of optimization, the global optimization which produce one set of feasible principal particulars and the second stage is local optimization which use global optimization results as input. The local optimization is conducted to reduce the weakness of global results. There are 16 results of global optimization which satisfies all required constraints which resulted 10,000 trainings. The difference between maximum and minimum of global optimization result is 7.02 % while the difference between minimum of global optimization and minimum objective function of local optimization result is 2.17%. The GOLOC optimization able to improve optimization result without trapped in the one point of variable.
确定滚装机主要特性的全局和局部优化方法
在设计阶段对滚装机主要参数的确定,对滚装机的技术经济性能有着至关重要的影响。这种全局和局部(GOLOC)优化能够提供最优的主体细节。采用全局优化法求全局目标函数的最优值,采用局部优化法求局部最优值。GOLOC方法需要两个优化阶段,即产生一组可行主细节的全局优化阶段和以全局优化结果作为输入的局部优化阶段。为了减少全局结果的缺点,进行了局部优化。有16个全局优化结果满足了所有的约束条件,总共训练了10000次。全局优化结果的最大值与最小值之差为7.02%,全局优化结果的最小值与局部优化结果的最小目标函数之差为2.17%。GOLOC优化可以提高优化结果,而不会陷入变量的一点。
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