Resource allocation is an important part of equipment maintenance support. In order to optimize resource allocation reasonably after equipment failure， quickly repair the equipment failure and restore the battle effectiveness of the army， in this paper， a task-oriented equipment maintenance support resource allocation model is proposed and solved by the genetic algorithm. The algorithm adopts the real number coding form which is closer to the problem space. Through embedding the random substitution module with limited selection， it solves the problem of task and resource allocation under the condition of clear task requirement and maintenance resource， and avoids the repeated allocation of resource. This paper proves the feasibility， validity and applicability of the method through the analysis of concrete examples， and provides a train of thought for the design and development of this kind of decision support system， as well as an important reference for the equipment maintenance resource support decision-making in the future information battlefield.