Multi-task Allocation of Multi-UAV Coalition Based on Improved Quantum Genetic Algorithm

Author(s):  
Pengfei Liu ◽  
Bing Wang ◽  
Wenjie Liu ◽  
Lan Zhang
Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1251
Author(s):  
Sabyasachi Mondal ◽  
Antonios Tsourdos

This paper presents a Two-Dimensional Quantum Genetic Algorithm (2D-QGA), which is a new variety of QGA. This variety will allow the user to take the advantages of quantum computation while solving the problems which are suitable for two-dimensional (2D) representation or can be represented in tabular form. The performance of 2D-QGA is compared to two-dimensional GA (2D-GA), which is used to solve two-dimensional problems as well. The comparison study is performed by applying both the algorithm to the task allocation problem. The performance of 2D-QGA is better than 2D-GA while comparing execution time, convergence iteration, minimum cost generated, and population size.


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 100369-100379
Author(s):  
Xueli Wu ◽  
Yanan Yin ◽  
Lei Xu ◽  
Xiaojing Wu ◽  
Fanhua Meng ◽  
...  

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