Modified multi-objective hybrid DE and PSO algorithms for resource allocation in forest fires

In this paper we propose an efficient method that is able to find intelligently the most suitable resource allocation strategy, in order to extinguish the fire in shortest possible time, considering the resource limitations and environmental conditions. The proposed method called MMHDP (Modified Multi-objective Hybrid DE and PSO Algorithms for Resource Allocation in Forest Fires). In order to evaluate the performance of proposed method, it is applied to a real-life problem of the forest fires in Arasbaran forests in Iran. Then its consistency with real environment and also optimality of obtained solutions are verified by comparing with the state-of-the-art method. Experimental results show that the proposed method, in addition to better consistency with environmental conditions, produces more optimal solutions.