In this paper, we present a unique approach to solve the Neutralization of Conflict Areas problem using an Ant Colony Optimization technique. The Neutralization of Conflict Areas is a known problem, and over the years, considerable research has been conducted to find strategies [7] to solve the problem. To effectively deal with this kind of problem, many search algorithms and techniques have been proposed. The Ant Colony Optimization technique has been very successful in solving problems such as the travelling salesman problem, vehicle routing problem, and routing and scheduling problems. The suggested approach to the problem presented here is to find routes for conflict areas and then neutralize the conflict areas. To find routes to conflict areas, we used the concept of a Dynamic Source Routing protocol. To find the shortest paths, we used the Ant Colony Optimization technique. The goal of this paper is to suggest a swarm-based approach to find conflict areas, neutralize conflict areas, and recruit help from other resource units when needed to neutralize conflict areas. The proposed solution has been implemented in a simulator. We simulate how two different sets of cooperating ants called explorer ants and worker ants, with different operational abilities work together in finding and neutralizing conflict areas and also in getting help from other resources areas. The solution can be visualized using a graphical user interface. The framework that we implement will allow for experimentation with a wide variety of experimental parameters.