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An agent-based approach for aircraft fleet scheduling path planning considering space constraint
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Abstract
In this paper, an agent-based approach for carrier based aircraft fleet scheduling path planning considering space constraint is analyzed and the objective is to minimize the fleet scheduling time. Firstly, the fleet scheduling environment is introduced, then modeling the aircraft fleet scheduling process based on multi-agent, two main agents are considered in this paper, Space Agent and Aircraft Agent. Next, a global optimization method for fleet cooperative path planning based on improved A* algorithm is given, which considering waiting strategy and bypass strategy, and the scheduling time is chosen as the optimization goal. Finally, the fleet with 10 carrier based aircraft is analyzed for verifying the proposed optimization approach. The simulation results show that the optimized algorithm can achieve the simultaneous scheduling of multiple aircraft, and the efficiency and the availability of the scheduling system is improved.
Title: An agent-based approach for aircraft fleet scheduling path planning considering space constraint
Description:
Abstract
In this paper, an agent-based approach for carrier based aircraft fleet scheduling path planning considering space constraint is analyzed and the objective is to minimize the fleet scheduling time.
Firstly, the fleet scheduling environment is introduced, then modeling the aircraft fleet scheduling process based on multi-agent, two main agents are considered in this paper, Space Agent and Aircraft Agent.
Next, a global optimization method for fleet cooperative path planning based on improved A* algorithm is given, which considering waiting strategy and bypass strategy, and the scheduling time is chosen as the optimization goal.
Finally, the fleet with 10 carrier based aircraft is analyzed for verifying the proposed optimization approach.
The simulation results show that the optimized algorithm can achieve the simultaneous scheduling of multiple aircraft, and the efficiency and the availability of the scheduling system is improved.
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