Aiming at the problems that the wartime equipment maintenance support task is heavy, the repair time is limited, and the type of maintenance support force does not match the damage demand of the equipment to be repaired, which makes it difficult to achieve accurate battlefield support, the multi-objective action control of wartime equipment maintenance support force was studied. Considering complex constraints such as repair time window, equipment damage state, types of maintenance support forces, changes of maintenance support capabilities and non-traversal, a multi-objective emergency repair action control model of maintenance support forces was established, which aims at the sum of equipment importance, the sum of repaired equipment and the sum of time beyond the repair time window. The NSGA-Ⅱ(non-dominated sorting genetic algorithm Ⅱ) with elite strategy is improved, and the VNS(variable neighborhood search) algorithm is combined to strengthen the local search ability of the algorithm. The improved VNSGA-Ⅱ(variable neighborhood search and non-dominated sorting genetic algorithm Ⅱ) hybrid algorithm is designed to solve the model, and the rationality and effectiveness of the model and algorithm are verified by examples.