Ship type optimization method based on multi-objective particle swarm algorithm

Abstract

The invention discloses a ship type optimization method based on a multi-objective particle swarm optimization algorithm. The method comprises the following steps: generating a group of particle swarmdesign variables according to the multi-objective particle swarm optimization algorithm, wherein each design variable particle corresponds to a group of ship type modification parameters; establishing a ship body new geometry corresponding to the ship type modification parameter by adopting an arbitrary curved surface deformation technology; calculating hydrodynamic performance by adopting a deepbelief network algorithm; and inputting a target function into the multi-objective particle swarm algorithm, generating a group of new particle swarm design variables according to the transformationrule of the multi-objective particle swarm algorithm, returning to step 2 to continue the next optimization until the multi-objective particle swarm algorithm reaches the maximum iteration times, andoutputting the hull geometry corresponding to the optimal particle. The hydrodynamic performance of the ship in waves is predicted by adopting a deep belief network algorithm, and global optimizationis performed by adopting the multi-objective particle swarm algorithm, so that the accuracy and the practicability of ship type design are ensured while the ship type optimization efficiency can be effectively improved.

Description

technical field [0001] The invention relates to a ship shape optimization method, in particular to a ship shape optimization method based on multi-objective particle swarm algorithm. Background technique [0002] At present, in the field of ship design, ship shape optimization design based on computational fluid dynamics technology has become the current mainstream method. Because this method can replace ship model experiments for accurate evaluation of hydrodynamic performance, it has brought huge benefits to the accurate and economical production of the shipbuilding industry. For example: use computational fluid dynamics technology to numerically simulate the hydrodynamic performance of ships in still water, and calculate the ship's wave-making resistance and total resistance; use computational fluid dynamics technology to analyze the additional resistance and motion of ships under different wave conditions Responses were analyzed numerically. However, in terms of ship s...

AI Technical Summary

Problems solved by technology

However, based on the Reynolds average-fluid volume function technology, there is a time-consuming defect in the evaluation of ship shape performance. The ship shape optimization design needs to calculate the ship shape performance repeatedly, which makes the entire optimization process long and complicated.

Images