The HPCXFGA method of main navigation performance and structure characteristic of the high-speed monohull inland ship

2011 6th IEEE Conference on Industrial Electronics and Applications Pub Date : 2011-06-21 DOI:10.1109/ICIEA.2011.5975621

Song-lin Yang, Jun-jie Zhao, Li Kun, Li Mi, Xie Jun, Zhao-long Yang

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Abstract

In this paper, a hierarchical parallel chaos algorithm is designed based on parallel thinking, chaos theory and weighted distance rule and it is called new chaos algorithm (CX), and then based on parallel thinking, fuzzy theory, genetic algorithm and new chaos algorithm, a hierarchical parallel chaos fuzzy genetic algorithm is advanced and it is called HPCXFGA. This new algorithm is programmed by VC++ into software which has a user-friendly graphical interface of good interactivity and applied to solving that mathematical model of synthetically optimizing navigation performances and structural properties for high-speed monohull inland ships. Quantities of computation results of different solving methods show that compared with other methods such as GA, chaos algorithm and their parallel algorithms, this composite algorithm can overcome GA's premature convergence and is reliable and efficient so that it lays a solid foundation for form optimization design and evaluation analysis of inland ships.

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高速内河单体船主航行性能与结构特性的HPCXFGA分析方法

本文基于并行思维、混沌理论和加权距离规则设计了一种分层并行混沌算法，称为新混沌算法(CX)，然后基于并行思维、模糊理论、遗传算法和新混沌算法，提出了一种分层并行混沌模糊遗传算法，称为HPCXFGA。利用vc++编写了具有良好交互性的图形界面软件，并应用于求解高速内河单体船舶航行性能和结构性能综合优化的数学模型。不同求解方法的大量计算结果表明，与遗传算法、混沌算法及其并行算法相比，该复合算法克服了遗传算法的过早收敛性，可靠高效，为内河船舶外形优化设计和评价分析奠定了坚实的基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2011 6th IEEE Conference on Industrial Electronics and Applications

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