Optimization of Large Vessels Principal Parameters Based on Hybrid Particle Swarm Optimization Algorithm
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...
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| Veröffentlicht in: | Applied Mechanics and Materials 2013-01, Vol.253-255, p.2172-2175 |
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| container_title | Applied Mechanics and Materials |
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| creator | Hu, Yu Long Huang, Sheng Hou, Yuan Hang Wang, Wen Quan |
| description | 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. |
| doi_str_mv | 10.4028/www.scientific.net/AMM.253-255.2172 |
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| title | Optimization of Large Vessels Principal Parameters Based on Hybrid Particle Swarm Optimization Algorithm |
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