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International Conference on Information, Electronic and Computer Science (ICIECS 2010 E-BOOK)

Zibo,China,11.26-11.28,2010

ISBN: 978-1-935068-42-6 Scientific Research Publishing, USA

E-Book 2224pp Pub. Date: November 2010

Category: Computer Science & Communications

Price: $360

Title: A Preliminary Study and Application of an Improved Parallel Genetic Algorithm in Optimization of Navigation Performance for High-Speed Ship
Source: International Conference on Information, Electronic and Computer Science (ICIECS 2010 E-BOOK) (pp 819-822)
Author(s): Jun-jie Zhao, Jiangsu University of Science and Technology, Zhenjiang City, Jiangsu Province, China
Song-lin Yang, Jiangsu University of Science and Technology, Zhenjiang City, Jiangsu Province, China
Kun Li, Jiangsu University of Science and Technology, Zhenjiang City, Jiangsu Province, China
Abstract: The integrated optimization of high-speed ship navigation performance is a complicated engineering problem, and the parallel genetic algorithm is one of the methods to improve efficiency. This paper proposes a piecewise interval based on sensitive variables of traditional parallel genetic algorithm, considered the fitness function and the distance between different optimization results, and made an improved parallel genetic algorithms. The application in an integrated optimization problem of high-speed ship navigation performance indicates that the improved parallel genetic algorithm is reliable and efficient.
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