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Optimization of Large Vessels Principal Parameters Based on Hybrid Particle Swarm Optimization Algorithm

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Abstract:

The multi-objective optimization design model of large vessels principal parameters was established, according to the characteristics of large ship’s scheme design. The ship stability, rapidity, and seakeeping were selected as the three objectives of the optimization model, and the minimum-deviation method was adopted to establish the unified objective function. The Particle Swarm Optimization and the Artificial Bee Colony algorithm were combined to the hybrid particle swarm algorithm, which then was used to solve the mathematical model. Through the simulation calculation, the results show that the hybrid algorithm has a better optimization performance and it is feasible for hybrid algorithm to apply in the preliminary design of large vessels.

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Periodical:

Applied Mechanics and Materials (Volumes 253-255)

Pages:

2172-2175

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.253-255.2172

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Online since:

December 2012

Authors:

Wen Quan Wang, Sheng Huang, Yuan Hang Hou, Yu Long Hu

Keywords:

Hybrid PSO Algorithm, Minimum-Deviation Method, Optimization Model, Principal Parameter

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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