An optimization approach to the design of outdoor thermal fire detection systems

With the recent growing usage of bio-fuels need for fire detection in outdoor bio-fuel depots has increased, and several technologies this purpose have been proposed. We consider use thermal cameras present problem designing placement such cameras. Bio-fuel are often large it might be prohibitively expensive to surveil complete areas interest, is therefore required generate compromise solutions between area coverage cost, presented a customer. give bi-objective mathematical optimization formulation fast heuristics that find solutions, results from calculating camera placements real-world depots. Our approach implemented decision support software, which currently use.