The authors present a highly complex search-planning problem in which unmanned aerial vehicles and humans collaborate to minimize the expected time at which human rescuers reach a target who is missing. They propose an evolutionary algorithm that uses biogeography-inspired operators to find an optimal or near-optimal solution within an acceptable time.
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Zheng et al. (2019) studied this question.
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