Abstract: In order to improve the efficiency of aviation emergency rescue in China and explore how to deploy helicopters scientifically and quickly after disasters, the concept of helicopter collaborative rescue with multiple rescue points and multiple resource demand points was proposed. Targeted by the smallest helicopter configuration time, maximum utility and maximum demand satisfaction, a helicopter rescue optimization model meeting the above requirements was constructed. The multi-objective function was converted into single objective function by coefficient weighting and the model was solved by cooperative differential evolution algorithm. Finally, the feasibility of the model and algorithm was verified based on an example analysis of military-civilian helicopter cooperative rescue. The results show that the proposed algorithm can obtain helicopter dispatching plan of the alternative rescue point within three days of rescue period, and provide decision support for the emergency rescue commander in selection of the helicopter scheduling plan.

Key words: collaborative rescue, rescue point, resource demand point, helicopter scheduling, synergistic differential evolution