In this work, a method for the rapid computational design and simulation of multiparticle swarms is developed. Specifically, a non‐convex optimization strategy is constructed, based on genetic algorithms, to design desired swarm‐like behaviour. To allow rapid evaluation of various swarm design performances, a temporally‐adaptive iterative scheme is developed to determine the positions, velocities and accelerations of members of the swarm. The overall purpose of such an approach is to facilitate rapid decision making for the dynamics of large numbers of interacting objects, whose goal is to reach a target guarded by obstacles in a minimum amount of time.
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Tarek I. Zohdi (2003) studied this question.
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