An Improved Differential Evolution Algorithm for Maritime Collision Avoidance Route Planning

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...

Full description

Saved in:
Bibliographic Details
Published in:Abstract and Applied Analysis 2014, Vol.2014 (2014), p.976-985-993
Main Authors: Ochieng, Washington Y., Feng, Shaojun, Li, Wang, Zhao, Yu-Xin, Schuster, Wolfgang
Format: Article
Language:English
Subjects:
Decision making
Efficiency
Evolutionary algorithms
Heuristic
Identification systems
Marine accidents
Mathematical models
Methods
Mutation
Optimization techniques
Population
Shipping industry
Surveillance
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1085-3375
1687-0409
DOI:10.1155/2014/614569