author_facet Zhang, Kun
Liu, Peipei
Kong, Weiren
Zou, Jie
Liu, Min
Zhang, Kun
Liu, Peipei
Kong, Weiren
Zou, Jie
Liu, Min
author Zhang, Kun
Liu, Peipei
Kong, Weiren
Zou, Jie
Liu, Min
spellingShingle Zhang, Kun
Liu, Peipei
Kong, Weiren
Zou, Jie
Liu, Min
Journal of Optimization
An Improved Heuristic Algorithm for UCAV Path Planning
General Medicine
author_sort zhang, kun
spelling Zhang, Kun Liu, Peipei Kong, Weiren Zou, Jie Liu, Min 2356-752X 2314-6486 Hindawi Limited General Medicine http://dx.doi.org/10.1155/2017/8936164 <jats:p>The study of unmanned combat aerial vehicle (UCAV) path planning is increasingly important in military and civil field. This paper presents a new mathematical model and an improved heuristic algorithm based on Sparse <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:msup><mml:mrow><mml:mi>A</mml:mi></mml:mrow><mml:mrow><mml:mo>⁎</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math> Search (SAS) for UCAV path planning problem. In this paper, flight constrained conditions will be considered to meet the flight restrictions and task demands. With three simulations, the impacts of the model on the algorithms will be investigated, and the effectiveness and the advantages of the model and algorithm will be validated.</jats:p> An Improved Heuristic Algorithm for UCAV Path Planning Journal of Optimization
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title An Improved Heuristic Algorithm for UCAV Path Planning
title_unstemmed An Improved Heuristic Algorithm for UCAV Path Planning
title_full An Improved Heuristic Algorithm for UCAV Path Planning
title_fullStr An Improved Heuristic Algorithm for UCAV Path Planning
title_full_unstemmed An Improved Heuristic Algorithm for UCAV Path Planning
title_short An Improved Heuristic Algorithm for UCAV Path Planning
title_sort an improved heuristic algorithm for ucav path planning
topic General Medicine
url http://dx.doi.org/10.1155/2017/8936164
publishDate 2017
physical 1-7
description <jats:p>The study of unmanned combat aerial vehicle (UCAV) path planning is increasingly important in military and civil field. This paper presents a new mathematical model and an improved heuristic algorithm based on Sparse <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:msup><mml:mrow><mml:mi>A</mml:mi></mml:mrow><mml:mrow><mml:mo>⁎</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math> Search (SAS) for UCAV path planning problem. In this paper, flight constrained conditions will be considered to meet the flight restrictions and task demands. With three simulations, the impacts of the model on the algorithms will be investigated, and the effectiveness and the advantages of the model and algorithm will be validated.</jats:p>
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author Zhang, Kun, Liu, Peipei, Kong, Weiren, Zou, Jie, Liu, Min
author_facet Zhang, Kun, Liu, Peipei, Kong, Weiren, Zou, Jie, Liu, Min, Zhang, Kun, Liu, Peipei, Kong, Weiren, Zou, Jie, Liu, Min
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container_start_page 1
container_title Journal of Optimization
container_volume 2017
description <jats:p>The study of unmanned combat aerial vehicle (UCAV) path planning is increasingly important in military and civil field. This paper presents a new mathematical model and an improved heuristic algorithm based on Sparse <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:msup><mml:mrow><mml:mi>A</mml:mi></mml:mrow><mml:mrow><mml:mo>⁎</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math> Search (SAS) for UCAV path planning problem. In this paper, flight constrained conditions will be considered to meet the flight restrictions and task demands. With three simulations, the impacts of the model on the algorithms will be investigated, and the effectiveness and the advantages of the model and algorithm will be validated.</jats:p>
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spelling Zhang, Kun Liu, Peipei Kong, Weiren Zou, Jie Liu, Min 2356-752X 2314-6486 Hindawi Limited General Medicine http://dx.doi.org/10.1155/2017/8936164 <jats:p>The study of unmanned combat aerial vehicle (UCAV) path planning is increasingly important in military and civil field. This paper presents a new mathematical model and an improved heuristic algorithm based on Sparse <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:msup><mml:mrow><mml:mi>A</mml:mi></mml:mrow><mml:mrow><mml:mo>⁎</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math> Search (SAS) for UCAV path planning problem. In this paper, flight constrained conditions will be considered to meet the flight restrictions and task demands. With three simulations, the impacts of the model on the algorithms will be investigated, and the effectiveness and the advantages of the model and algorithm will be validated.</jats:p> An Improved Heuristic Algorithm for UCAV Path Planning Journal of Optimization
spellingShingle Zhang, Kun, Liu, Peipei, Kong, Weiren, Zou, Jie, Liu, Min, Journal of Optimization, An Improved Heuristic Algorithm for UCAV Path Planning, General Medicine
title An Improved Heuristic Algorithm for UCAV Path Planning
title_full An Improved Heuristic Algorithm for UCAV Path Planning
title_fullStr An Improved Heuristic Algorithm for UCAV Path Planning
title_full_unstemmed An Improved Heuristic Algorithm for UCAV Path Planning
title_short An Improved Heuristic Algorithm for UCAV Path Planning
title_sort an improved heuristic algorithm for ucav path planning
title_unstemmed An Improved Heuristic Algorithm for UCAV Path Planning
topic General Medicine
url http://dx.doi.org/10.1155/2017/8936164