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