A new error analysis method is presented via genetic algorithms for high precise heading determination model based on two total positioning stations （TPSs）. The method has the ability to search all possible solution...A new error analysis method is presented via genetic algorithms for high precise heading determination model based on two total positioning stations （TPSs）. The method has the ability to search all possible solution space by the genetic operators of elitist model and restriction. The result of analyzing the error of this model shows that the accuracy of this model is precise enough to meet the need of calibration for navigation systems on ship, and the search space is only 0. 03% of the total search space, and the precision of heading determination is 4＂ in a general dock.展开更多
文章给出了基于改进遗传算法的圆锥滚子轴承优化设计的方法。针对传统算法在圆锥滚子轴承优化设计中全局寻优能力较差问题,文章改进了标准遗传算法(Simple Genetic A lgorithm SGA)的算法参数,采用了最优解保存策略,并运用退火罚函数法...文章给出了基于改进遗传算法的圆锥滚子轴承优化设计的方法。针对传统算法在圆锥滚子轴承优化设计中全局寻优能力较差问题,文章改进了标准遗传算法(Simple Genetic A lgorithm SGA)的算法参数,采用了最优解保存策略,并运用退火罚函数法[1]处理约束。通过与标准遗传算法及综合约束双下降法比较,表明改进遗传算法具有良好全局寻优能力和稳定性。从而解决了开发圆锥滚子轴承CAD系统的关键问题。展开更多
文摘A new error analysis method is presented via genetic algorithms for high precise heading determination model based on two total positioning stations （TPSs）. The method has the ability to search all possible solution space by the genetic operators of elitist model and restriction. The result of analyzing the error of this model shows that the accuracy of this model is precise enough to meet the need of calibration for navigation systems on ship, and the search space is only 0. 03% of the total search space, and the precision of heading determination is 4＂ in a general dock.
文摘文章给出了基于改进遗传算法的圆锥滚子轴承优化设计的方法。针对传统算法在圆锥滚子轴承优化设计中全局寻优能力较差问题,文章改进了标准遗传算法(Simple Genetic A lgorithm SGA)的算法参数,采用了最优解保存策略,并运用退火罚函数法[1]处理约束。通过与标准遗传算法及综合约束双下降法比较,表明改进遗传算法具有良好全局寻优能力和稳定性。从而解决了开发圆锥滚子轴承CAD系统的关键问题。
