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In this paper, we proposed a set of emergency task planning algorithms for combinatorial strategy selection.
We designed experiments to verify the three sub-algorithms in the emergency task planning algorithms for combinatorial strategy selection and prove the overall feasibility of the algorithm respectively.
If it is the general emergency tasks with more tasks, use general emergency task planning &insertion algorithm (GETPIA); Step 3: Constraint checking.
We put forward three algorithms for quick insertion of emergency tasks, i.e., emergency task insertion algorithm (ETIA), general emergency task insertion algorithm (GETIA), and general emergency task planning &insertion algorithm (GETPIA).
The general emergency task planning &insertion algorithm (GETPIA) uses the idea of Pareto optimization [21 24], which requires that any improvement needed should not damage the profit of other parts.
General emergency task planning & insertion algorithm.
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This paper will discuss and analyze the difficulties in the emergency observation tasks as well as put forward the task planning model of the emergency tasks based on various constraints.
Through the analysis of the problem and its constraints, a model of emergency task autonomous planning was implemented.
Group 2: Pre-task planning.
Dependent variable (I) Planning condition (J Planningg condition Descriptive fluency No planning Pre-task planning −3.9533 1.2975.012 No planning Online planning 2.7177 1.1695.072 Pre-task planning Online planning 0.6710 1.1695.000.
In the experiment 1, we simulated different original tasks and considered different positions of emergency tasks in the original task planning sequence.
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