Potential Odor Intensity Grid Based UAV Path Planning Algorithm with Particle Swarm Optimization Approach
المؤلفون المشاركون
Zhang, Xuejun
Liu, Yang
Guan, Xiangmin
Delahaye, Daniel
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-09-14
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
This paper proposes a potential odor intensity grid based optimization approach for unmanned aerial vehicle (UAV) path planning with particle swarm optimization (PSO) technique.
Odor intensity is created to color the area in the searching space with highest probability where candidate particles may locate.
A potential grid construction operator is designed for standard PSO based on different levels of odor intensity.
The potential grid construction operator generates two potential location grids with highest odor intensity.
Then the middle point will be seen as the final position in current particle dimension.
The global optimum solution will be solved as the average.
In addition, solution boundaries of searching space in each particle dimension are restricted based on properties of threats in the flying field to avoid prematurity.
Objective function is redesigned by taking minimum direction angle to destination into account and a sampling method is introduced.
A paired samples t-test is made and an index called straight line rate (SLR) is used to evaluate the length of planned path.
Experiments are made with other three heuristic evolutionary algorithms.
The results demonstrate that the proposed method is capable of generating higher quality paths efficiently for UAV than any other tested optimization techniques.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Yang& Zhang, Xuejun& Guan, Xiangmin& Delahaye, Daniel. 2016. Potential Odor Intensity Grid Based UAV Path Planning Algorithm with Particle Swarm Optimization Approach. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1112604
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Yang…[et al.]. Potential Odor Intensity Grid Based UAV Path Planning Algorithm with Particle Swarm Optimization Approach. Mathematical Problems in Engineering No. 2016 (2016), pp.1-16.
https://search.emarefa.net/detail/BIM-1112604
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Yang& Zhang, Xuejun& Guan, Xiangmin& Delahaye, Daniel. Potential Odor Intensity Grid Based UAV Path Planning Algorithm with Particle Swarm Optimization Approach. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1112604
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1112604
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر