An Improved Differential Evolution Algorithm for Maritime Collision Avoidance Route Planning

المؤلفون المشاركون

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

المصدر

Abstract and Applied Analysis

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-11-12

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

الرياضيات

الملخص EN

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.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zhao, Yu-Xin& Li, Wang& Feng, Shaojun& Ochieng, Washington Y.& Schuster, Wolfgang. 2014. An Improved Differential Evolution Algorithm for Maritime Collision Avoidance Route Planning. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1033872

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zhao, Yu-Xin…[et al.]. An Improved Differential Evolution Algorithm for Maritime Collision Avoidance Route Planning. Abstract and Applied Analysis No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1033872

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zhao, Yu-Xin& Li, Wang& Feng, Shaojun& Ochieng, Washington Y.& Schuster, Wolfgang. An Improved Differential Evolution Algorithm for Maritime Collision Avoidance Route Planning. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1033872

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1033872