The ship hull optimization problem is becoming more and more complex,resulting in an increasing amount of expensive numerical calculations,which in turn makes the optimization cost higher and higher.This puts forward higher requirements for optimization technology,to streamline the calculation amount and reduce the optimization cost.This paper conducts research and development on efficient global optimization algorithms,discusses its initial sample points,sample point adding rules and convergence conditions,using a variety of initial sample points to start optimization.Expected Im-provement as the single-objective sample adding rule and euclidean.The distance EIM function is used as a multi-objective sample adding rule,and a genetic algorithm is used to optimize the sample adding function to accurately locate the best new sample points,and is verified through a standard optimization test function.It provides new ideas for ship type optimization problems.
关键词
船型优化/精简计算量/高效全局优化算法/加点法则
Key words
ship hull optimization/streamline the calculation amount/efficient global optimization/sample adding role
维普
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