Control Application Based on Multi-objective Simulated Annealing Algorithm
The application of drones is a recent hot research topic. We need to use drones based on some optimization algorithms to find the best path for simulation data. We will use Monte Carol to simulate the initial solution to establish a multiobjective simulated annealing algorithm to arrange the UAV and...
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| Vydáno v: | 2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI) s. 708 - 714 |
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| Jazyk: | angličtina |
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IEEE
24.09.2021
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| Abstract | The application of drones is a recent hot research topic. We need to use drones based on some optimization algorithms to find the best path for simulation data. We will use Monte Carol to simulate the initial solution to establish a multiobjective simulated annealing algorithm to arrange the UAV and balance two main goals: safety and cost. We also use other factors as parameters, including the size and frequency of the destination. We applied the algorithm to the simulated data and got the solution result. In addition, we conducted a sensitivity analysis on the outer loop parameters of the simulated annealing algorithm. At the same time, the model was evaluated, and its development prospects were forecasted. |
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| AbstractList | The application of drones is a recent hot research topic. We need to use drones based on some optimization algorithms to find the best path for simulation data. We will use Monte Carol to simulate the initial solution to establish a multiobjective simulated annealing algorithm to arrange the UAV and balance two main goals: safety and cost. We also use other factors as parameters, including the size and frequency of the destination. We applied the algorithm to the simulated data and got the solution result. In addition, we conducted a sensitivity analysis on the outer loop parameters of the simulated annealing algorithm. At the same time, the model was evaluated, and its development prospects were forecasted. |
| Author | Wang, Xiang Lu, Mingyu Lu, Guanyu Liu, Jiajun |
| Author_xml | – sequence: 1 givenname: Xiang surname: Wang fullname: Wang, Xiang email: Xiang.Wang18@student.xjtlu.edu.cn organization: School of Science, Xi'an Jiaotong-Liverpool University,Suzhou,China – sequence: 2 givenname: Guanyu surname: Lu fullname: Lu, Guanyu organization: School of Science, Xi'an Jiaotong-Liverpool University,Suzhou,China – sequence: 3 givenname: Mingyu surname: Lu fullname: Lu, Mingyu organization: School of Science, Xi'an Jiaotong-Liverpool University,Suzhou,China – sequence: 4 givenname: Jiajun surname: Liu fullname: Liu, Jiajun organization: School of Science, Xi'an Jiaotong-Liverpool University,Suzhou,China |
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| Snippet | The application of drones is a recent hot research topic. We need to use drones based on some optimization algorithms to find the best path for simulation... |
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| SubjectTerms | component Costs GIS MTSP (multiple traveling salesman problem) Predictive models Resource management Safety Sensitivity analysis Simulated annealing Traveling salesman problems UAV |
| Title | Control Application Based on Multi-objective Simulated Annealing Algorithm |
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