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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/614569 |
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| _version_ | 1832558693559828480 |
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| author | Yu-xin Zhao Wang Li Shaojun Feng Washington Y. Ochieng Wolfgang Schuster |
| author_facet | Yu-xin Zhao Wang Li Shaojun Feng Washington Y. Ochieng Wolfgang Schuster |
| author_sort | Yu-xin Zhao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e436f58927504a49bc71e7a17270861e |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-e436f58927504a49bc71e7a17270861e2025-02-03T01:31:51ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/614569614569An Improved Differential Evolution Algorithm for Maritime Collision Avoidance Route PlanningYu-xin Zhao0Wang Li1Shaojun Feng2Washington Y. Ochieng3Wolfgang Schuster4College of Automation, Harbin Engineering University, Harbin 150001, ChinaCollege of Automation, Harbin Engineering University, Harbin 150001, ChinaCenter for Transport Studies, Imperial College London, London SW7 2AZ, UKCenter for Transport Studies, Imperial College London, London SW7 2AZ, UKCenter for Transport Studies, Imperial College London, London SW7 2AZ, UKHigh 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.http://dx.doi.org/10.1155/2014/614569 |
| spellingShingle | Yu-xin Zhao Wang Li Shaojun Feng Washington Y. Ochieng Wolfgang Schuster An Improved Differential Evolution Algorithm for Maritime Collision Avoidance Route Planning Abstract and Applied Analysis |
| title | An Improved Differential Evolution Algorithm for Maritime Collision Avoidance Route Planning |
| title_full | An Improved Differential Evolution Algorithm for Maritime Collision Avoidance Route Planning |
| title_fullStr | An Improved Differential Evolution Algorithm for Maritime Collision Avoidance Route Planning |
| title_full_unstemmed | An Improved Differential Evolution Algorithm for Maritime Collision Avoidance Route Planning |
| title_short | An Improved Differential Evolution Algorithm for Maritime Collision Avoidance Route Planning |
| title_sort | improved differential evolution algorithm for maritime collision avoidance route planning |
| url | http://dx.doi.org/10.1155/2014/614569 |
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