Abstract and Applied Analysis

An Improved Differential Evolution Algorithm for Maritime Collision Avoidance Route Planning

Yu-xin Zhao, Wang Li, Shaojun Feng, Washington Y. Ochieng, and Wolfgang Schuster

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Abstract

High accuracy navigation and surveillance systems are pivotal to ensure efficient ship route planning and marine safety. Based on existing ship navigation and maritime collision prevention rules, an improved approach for collision avoidance route planning using a differential evolution algorithm was developed. Simulation results show that the algorithm is capable of significantly enhancing the optimized route over current methods. It has the potential to be used as a tool to generate optimal vessel routing in the presence of conflicts.

Article information

Source
Abstr. Appl. Anal., Volume 2014 (2014), Article ID 614569, 10 pages.

Dates
First available in Project Euclid: 27 February 2015

Permanent link to this document
https://projecteuclid.org/euclid.aaa/1425049871

Digital Object Identifier
doi:10.1155/2014/614569

Zentralblatt MATH identifier
07022728

Citation

Zhao, Yu-xin; Li, Wang; Feng, Shaojun; Ochieng, Washington Y.; Schuster, Wolfgang. An Improved Differential Evolution Algorithm for Maritime Collision Avoidance Route Planning. Abstr. Appl. Anal. 2014 (2014), Article ID 614569, 10 pages. doi:10.1155/2014/614569. https://projecteuclid.org/euclid.aaa/1425049871


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