In view of the difficulty of forest fire-fighting dispatching force organization and low degree of refinement,a wolves optimization algorithm based on Cell-DEVS(Discrete Event System Specification) for forest fire-fighting resource scheduling was proposed. Firstly, Rothermel forest fire spread model was used to classify forest fire spread rate. Secondly, according to the principle of control the key in forest fire control, the forest fire-fighting resource scheduling model was built by a way of coupling drive modular designing,and a Wolves Strong Survival Update Mechanism (WSSUM) based on the Cell-DEVS model was proposed. Finally, aiming at the problem that the scheduling of forest fire-fighting resources was not fine enough in the local search of unit time step, an modified Wolves Optimization Algorithm (WOA) based on improved local search strategy was adopted to schedule the forest fire fighting resources in the local walk interactively. In the comparison experiments with WSSUM algorithm, the WOA improved the local search performance while reducing the task execution time. The experimental results show that the convergence speed is improved by 10.1% compared with that before improvement. The study adapts to the individual fire-fighting command system equipped with locating equipment to realize differentiated fine force dispatching.