H-P-G-C optimizing methods and its application

Yang Zhao-long; Yang Song-lin; Xie Jun; Zhang Huo-ming; IEEE; Huo-ming Zhang

doi:10.1109/ICIEA.2011.5975895

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Conference proceeding

H-P-G-C optimizing methods and its application

Yang Zhao-long, Yang Song-lin, Xie Jun, Zhang Huo-ming, IEEE and Huo-ming Zhang

2011 6th IEEE Conference on Industrial Electronics and Applications, pp.1863-1868

06/2011

DOI: https://doi.org/10.1109/ICIEA.2011.5975895

Abstract

Algorithm design and analysis

Compounds

delicate variable's segment

Genetic algorithms

H-P-G-C

Marine vehicles

Navigation

navigation performance

Optimization

Propellers

structural property

synthetical optimization

The author built up a hierarchical parallel genetic compound form algorithm (H-P-G-C) which was develop based on delicate variables' segments, parallel algorithm, genetic algorithm (GA) and compound form algorithm. An optimizing model of navigation performances and structural properties for inland ships was constructed. This composite algorithm is programmed by VC++, it has a friendly graphical user interface. Quantities of computation results of comparison between different solving methods show that this composite algorithm has a solid foundation for form optimization and design evaluation of inland ships.

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Details

Title: H-P-G-C optimizing methods and its application
Creators - without role: Yang Zhao-long - University of Southampton
Yang Song-lin - Jiangsu University
Xie Jun - Jingdezhen Comprehensive Coll., Jingdezhen, China
Zhang Huo-ming - China Jiliang University
IEEE
Huo-ming Zhang - King Abdullah University of Science & Technology
Publication Details: 2011 6th IEEE Conference on Industrial Electronics and Applications, pp.1863-1868
Publisher: IEEE
Identifiers: 9942721408331
Academic Unit: King Abdullah University of Science & Technology
Language: English
Resource Type: Conference proceeding