A modified nature-inspired meta-heuristic methodology for heterogeneous unmanned aerial vehicle system task assignment problem-Reference-Cited by-同舟云学术

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A modified nature-inspired meta-heuristic methodology for heterogeneous unmanned aerial vehicle system task assignment problem

Published:2021-08-15 Issue:22 Volume:25 Page:14227-14243
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Fan Chenchen,Han Song,Li Xinbin,Zhang Tao,Yuan Yi

Funder

s&t program of hebei

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-021-06104-6.pdf

Reference33 articles.

1. Abdel-Basset M, Manogaran G, El-Shahat D, Mirjalili S (2018) A hybrid whale optimization algorithm based on local search strategy for the permutation flow shop scheduling problem. Future Gener Comput Syst 85:129–145

2. Abdel-Basset M, Manogaran G, El-Shahat D, Mirjalili S (2018) Integrating the whale algorithm with tabu search for quadratic assignment problem: a new approach for locating hospital departments. Appl Soft Comput 73:530–546

3. Altabeeb AM, Mohsen AM, Ghallab A (2019) An improved hybrid firefly algorithm for capacitated vehicle routing problem. Appl Soft Comput 84:105728

4. Causa F, Fasano G (2021) Multiple uavs trajectory generation and waypoint assignment in urban environment based on dop maps. Aerosp Sci Technol 110:106507

5. Chen H, Xu Y, Wang M, Zhao X (2019) A balanced whale optimization algorithm for constrained engineering design problems. Appl Math Model 71:45–59

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