GA is an appropriate choice to solve the problem of multi-parameter, large-scale and non-linear complex function optimization like camera calibration.
遗传算法非常适合于解决摄像机标定这类多参数、大范围、非线性的复杂函数优化问题。
Functional test result shows that this algorithm has higher convergence property, and it is suitable for solving complex function optimization problem.
函数测试结果表明，该算法具有较好的收敛性能，适用于求解复杂函数优化问题。
However, optimization decisions are a complex function of various attributes, including the database environment and query characteristics, as well as the data itself.
然而，优化决策是各种属性的复杂函数，这些属性包括数据库环境、查询特征以及数据本身。
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