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An Improved Heuristic Algorithm for UCAV Path Planning
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Zeitschriftentitel: | Journal of Optimization |
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Personen und Körperschaften: | , , , , |
In: | Journal of Optimization, 2017, 2017, S. 1-7 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
Hindawi Limited
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Schlagwörter: |
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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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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10.1155/2017/8936164 |
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2017 |
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Hindawi Limited |
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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 |
author_sort | zhang, kun |
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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source_id | 49 |
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 |