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Selection method of multi — objective problems using genetic algorithm in motion plan of AUV

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Abstract

To research the effect of the selection method of multi — objects genetic algorithm problem on optimizing result, this method is analyzed theoretically and discussed by using an autonomous underwater vehicle (AUV) as an object. A changing weight value method is put forward and a selection formula is modified. Some experiments were implemented on an AUV, TwinBurger. The results shows that this method is effective and feasible.

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Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, Harbin Engineering University, 150001, Harbin, China

    Zhang Ming-jun & Zheng Jin-xing

  2. College of Computer and Information Science, Harbin Engineering University, 150001, Harbin, China

    Zhang Jing

Authors
  1. Zhang Ming-jun
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  2. Zheng Jin-xing
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  3. Zhang Jing
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Zhang, Mj., Zheng, Jx. & Zhang, J. Selection method of multi — objective problems using genetic algorithm in motion plan of AUV. J. Marine. Sci. Appl. 1, 81–86 (2002). https://doi.org/10.1007/BF02921423

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  • DOI: https://doi.org/10.1007/BF02921423

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