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Evolution of a Foraging Model with Many Individuals by Kin-selection

机译:KIN选择与许多人的觅食模型的演变

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Genetic Algorithm (GA) has a property, which prompts evolution of superior individuals by weeding out others under standards of estimation. So, GA is weak in evolution of altruistic behavior. We used an selection algorithm based on the theory called "Kin-selection", which is a popular rationale of altruistic behavior. Efficacy of this algorithm was confirmed by simulation of a model, which sending signal and communication among a group regards as altruistic behavior. As a result, a group had consisted of some subgroups of individuals who has the same property and signal pattern to communicate among a subgroup.
机译:遗传算法(GA)有一个属性,其在估计标准下杂草出来时提示出于其他人的进化。因此,GA在利他行为的演变中很弱。我们使用了一个基于理论的选择算法,称为“Kin-Selection”,这是一个流行的利他行为的理由。通过模拟模型确认了该算法的功效,该模型将群体视为利他行为的群体中的信号和通信发送。因此,一组由某些具有相同财产和信号模式的个人子组组成,以便在子组中进行通信。

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