Research on Optimal Scheduling of Battlefield Maintenance Tasks Considering Residual Life

An optimal scheduling model considering the residual life is pro-posed for battlefield maintenance. Under the limitation of re-sources and time, the model takes the residual life, importance and distance of the equipment into account and tries to minimize the whole loss of equipment importance. An improved genetic algorithm is used to do this work, where the adjacent genes crossover operator is designed to speed up the convergence. The experimental results show that the proposed model can reasona-bly allocate tasks, make full use of residual life, cost less and reduce the loss of equipment importance, so it is rationality and effectiveness.