Systems Engineering and Electronics ›› 2024, Vol. 46 ›› Issue (7): 2393-2400.doi: 10.12305/j.issn.1001-506X.2024.07.21

• Systems Engineering • Previous Articles    

Optimization of task dispatch plan for vehicular optical observation equipment based on NSGA-Ⅱ

Qiangqiang XU, Hua CHAI   

  1. Space Engineering University, Beijing 101416, China
  • Received:2022-12-13 Online:2024-06-28 Published:2024-07-02
  • Contact: Qiangqiang XU

Abstract:

To improve the task dispatch plan for vehicular optical observation equipment, a multi-objective genetic algorithm based on non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) is proposed. Firstly, the task dispatch problem is modeled with the constraints and optimum indexes. To deal with multiple optimum indexes, the optimum index which is not considered in the objective function is considered as a constraint. Secondly, the multi-objective fitness function and selection operator is calculated based on the fast non-dominated sorting method of NSGA-Ⅱ. The Pareto solution set obtained by the multi-objective optimization is the task dispatch plan solution. Finally, the proposed algorithm is verified by a simulation example. The simulation results show that this method can solve the task dispatch plan problem effectively, which is valuable for the application of the vehicular optical observation equipment.

Key words: vehicular optical observation equipment, task dispatch, multi-objective optimization, genetic algorithm

CLC Number: 

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