Daniel Ajagbusi


Controlling Growing Tasks via Altering the Secondary Agent Ratio

Every year on average natural disasters affects around 218 million people worldwide, which has led to the creation of carefully constructed simulation resources, and action plans for such events. One of the biggest factors in determining the likelihood of resolving these natural disasters is the distributions of authorized personnel, agents, that are able to assist in preventing further damage. Along with the allocation of the resources, secondary agents, provided to them. Resolving in this instance means to minimize damage, and maximizing civilians kept alive. In an ideal world, we would be able to provide all the agents with unlimited resources. However, due to the finite number of agents, it is in our best interest to determine the distribution that yields the highest percentage of natural disasters with optimal outcomes. We will be testing the efficiency of different ratios in a plethora of environments, ranging from large industrial cities to small farming towns. The data collected can be used by officials to better prepare for natural disasters.

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