ارايه روشي مبتني بر بهينه سازي كلوني زنبورها در تعيين بهينه توزيع اسكان شهروندان مناطق شهري در اماكن امن

A Bee Colony -Inspired Optimization Algorithm for Evacuation Planning in Urban Disaster Management

One of the most important issues in the management of disasters that caused by natural phenomena in urban areas is how to evacuate inhabitant of hazardous areas to safe areas. Optimal allocation of capacities in safe areas to inhabitants leads to effective decision making by inhabitants for displacement to safe areas in evacuation process. Effective decision making in disaster management is so noticeable and can decrease losses of disasters. Optimal allocation of capacities in safe areas is so complicated especially in urban areas that are so inhibited. Nevertheless, Up to now, there is no effective method to solve this problem. Allocation of capacities in safe areas closely resembles bee forager allocation amongst flower patches to optimize nectar influx. So, for first time in this paper, a novel algorithm that inspired from bee colony foraging behavior and its characteristics used to create an optimization algorithm to solve emergency evacuation problem. Proposed method used to solve evacuation problem for an urbane area and Results of proposed method indicate that this method is so capable to solve emergency evacuation of inhabitant in hazardous urban areas to safe areas.