Collision Avoidance Strategy Optimization of Ship’s Speed Alteration with Bacterial Foraging Algorithm

Wen Yao Ma; Jia Xuan Yang

doi:10.4028/www.scientific.net/AMM.278-280.1318

Paper Titles

An Improved Algorithm Using B-Spline Weight Functions for Training Feedforward Neural Networks
p.1301

An Improved Web Text Classification Algorithm Based on SVM-KNN
p.1305

Application of Hybrid Algorithm to Real-Time Face Recognition
p.1309

Based on Improvement Immunity Algorithm Electrical Power System Optimal Power Flow Computation
p.1314

Collision Avoidance Strategy Optimization of Ship’s Speed Alteration with Bacterial Foraging Algorithm
p.1318

Fuzzy C-Regression Models
p.1323

Implementation for Improved Algorithm of Circle Anti-Aliasing
p.1327

Performance Test Functions of Genetic Algorithm
p.1334

The Application Research on Discrete Hopfield Neural Network in Water Quality Evaluation
p.1338

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 278-280Collision Avoidance Strategy Optimization of...

Collision Avoidance Strategy Optimization of Ship’s Speed Alteration with Bacterial Foraging Algorithm

Abstract:

When ship navigates at sea, collision avoidance of ship’s speed alteration is frequently adopted by officer on watch in order to prevent from forming collision situation with target ship(s). Bacterial foraging algorithm (BFA) that imitates the social foraging behavior of Escherichia coli is an optimal search method suitable for complex problems. This research adopts the bacterial foraging algorithm to find the speed alteration collision avoidance strategy from an economical viewpoint, combining the international regulations for preventing collisions at sea (COLREGS) and the safety domain of ship. An optimal time of changing speed, amplitude of speed alteration and navigation restoration time will also be provided. The effectiveness of the algorithm has been verified by simulation. The study offers new thinking and a practical method for collision avoidance decision.

You might also be interested in these eBooks

Advances in Mechatronics and Control Engineering

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 278-280)

Pages:

1318-1322

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.278-280.1318

Citation:

Cite this paper

Online since:

January 2013

Authors:

Wen Yao Ma, Jia Xuan Yang

Keywords:

Bacterial Foraging Algorithm (BFA), Collision Avoidance, Optimization, Safety Domain of a Ship

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Bai Yiming, Han Xinjie, Meng Xiaoyao: Journal of Navigation of China Vol. 35(2), (2012), pp.29-32.

Google Scholar

[2] Lee, S.M., Kwon, K. Y. and Joh, J: International Journal of Control Automation and Systems Vol. 2(2004), pp.171-181.

Google Scholar

[3] Gemeinder M, Gerke M: Applied Soft Computing Vol. 3 (2003), pp.149-158.

Google Scholar

[4] Ming-Cheng Tsou, Sheng-Long Kao, Chien-Min Su: Journal of Navigation Vol. 63(1), (2010), pp.1-16.

Google Scholar

[5] Ming-Cheng Tsou, Chao-Kuang Hsueh: Journal of Marine Science and Technology Vol. 18(5), (2010), pp.746-756.

Google Scholar

[6] Bi Xiuying, Jia Chuanying, Wu ZhaoLin: Journal of Dalian Maritime University Vol. 30(1) (2004), pp.26-30.

Google Scholar

[7] Das S, Biswas A, Dasgupta S: Foundations of Comput Intel Vol. 3(2009), pp.23-55.

Google Scholar

[8] Liu Dexin, Wu ZhaoLin and Jia ChuanYing: Journal of Dalian Maritime University Vol. 30(1) (2004), pp.22-25.

Google Scholar