Application of improved efficient global optimization algorithm
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.
ship hull optimizationstreamline the calculation amountefficient global optimizationsample adding role
万方数据
维普
