human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent groups of papers sharing a common citing paper.

Details of the hypergraph:
Center node: "Control of Parallel Population Dynamics by Social-Like Behavior of GA-Individuals"
  Abstract: A frequently observed difficulty in the application of genetic algorithms to the domain of optimization arises from premature convergence. In order to preserve genotype diversity we develop a new model of auto-adaptive behavior for individuals. In this model a population member is an active individual that assumes social-like behavior patterns. Different individuals living in the same population can assume different patterns. By moving in a hierarchy of "social states" individuals change their behavior. Changes of social state are controlled by arguments of plausibility. These arguments are implemented as a rule set for a massively-parallel genetic algorithm. Computational experiments on 12 large-scale job shop benchmark problems show that the results of the new approach dominate the ordinary genetic algorithm significantly.

Connected through hyperedge HE-1 (induced by source paper "Genetic Algorithm based Scheduling in a Dynamic Manufacturing Environment"):
  with members:
    - "A Generalized Permutation Approach to Job Shop Scheduling with Genetic Algorithms"

Connected through hyperedge HE-2 (induced by source paper "A Generalized Permutation Approach to Job Shop Scheduling with Genetic Algorithms"):
  with members:
    - "The Application of a Parallel Genetic Algorithm to the n=m=P=C max Flowshop Problem"
    - "Using Neural Networks and Genetic Algorithms as Heuristics for NP-Complete Problems"
    - "Genetic Algorithm based Scheduling in a Dynamic Manufacturing Environment"

Question: Please tell me which class the center node belongs to. The 7 classes are: Neural_Networks, Reinforcement_Learning, Probabilistic_Methods, Theory, Genetic_Algorithms, Case_Based, Rule_Learning. Directly output the class name.

gpt: Genetic_Algorithms