The Application Research with Particle Swarm Bacterial Foraging Intelligent Algorithm in Ship Collision Avoidance

DOI

10.2991/mce-14.2014.15How to use a DOI?

Keywords

ship collision avoidance collision risk route Optimization hybrid optimization algorithm; dynamic simulation

Abstract

Bacterial foraging algorithm has defects of low convergence rate and high computation complexity, so it will increase the optimization time when used to produce ship collision avoidance path. In order to improve the optimization performance, this paper proposes that intelligent bacterial foraging algorithm of particle swarm can be used for ship collision avoidance, for optimization of collision avoidance path, and for shortening of the generation time of collision avoidance strategies. Besides, it also verifies effectiveness and superiority of this algorithm when it is used to generate ship collision avoidance path under three ship approach situations including head-on-head, crossover, and overtaking through the ship collision avoidance simulation interface designed by VS2010 development environment. This has provided timely and effective information for collision avoidance operation of seaman.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hongdan Liu
AU  - Sheng Liu
AU  - Lanyong Zhang
AU  - Zhenguo Gao
PY  - 2014/03
DA  - 2014/03
TI  - The Application Research with Particle Swarm Bacterial Foraging Intelligent Algorithm in Ship Collision Avoidance
BT  - Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 69
EP  - 74
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.15
DO  - 10.2991/mce-14.2014.15
ID  - Liu2014/03
ER  -