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Mining fire is one of the critical disasters in coal mine. When it breaks out, it can destroy generous coal resources, roads and equipments and kill miners. Sometime mine fires induce coal-dust and/or gas explosives thus enlarge fire risks and fire scopes. This is one of the main reasons that mine fires are dangerous to miners. In this paper Genetic Algorithm ( GA) is used to study human evacuation plans during mine fires. GA is introduced in section 1; mathematical models of optimal control of airflow states under influence of mine fires, the selections of coefficients of GA, and how to evacuate fire risk sites are proposed in section 2; and an computation example is taken in section 3.