Abstract:

According to problems in equipment support task multi-object planning, such as complex of matching task and resource, difficulty of gaining object weight and large amount of non-inferior solutions, an object model and a constraint model of equipment support task planning are established. Then the method of interactive multi object equipment support task planning based on the improved particle swarm optimization are put forward. The task and resource matching and timing adjustment are accomplished by using the method of discrete encoding and task priority ordering. Through the establishment of the object weight adjustment model, the interaction process of adjusting the object weight according to the evaluation results is realized, and the problem that the object weight can not be obtained accurately is solved. A relative optimal solution is obtained by constructing the fitness function with the object weight, so that the difficult of decision due to a lot of non-inferior solutions is avoid. This method can better achieve the accuracy and efficiency of equipment support, and has important reference value in the auxiliary decision making of equipment support and the generation of the plan under the condition of information.