Forests are important dynamic systems which are widely affected by fire worldwide. Due to the complexity and non linearity of the forest fire problem, employing hybrid evolutionary algorithms is a logical task to achieve a reliable approximation of this environmental threat. Three fuzzy metaheuristic ensembles, based on adaptive neuro fuzzy inference systems ANFIS incorporated with genetic algorithm GA , particle swarm optimization PSO , and differential evolution DE evolutionary algorithms are used to produce the forest fire susceptibility map FFSM of a fire prone region in Iran. ...