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: "Hyperplane Ranking in Simple Genetic Algorithms"
  Abstract: We examine the role of hyperplane ranking during search performed by a simple genetic algorithm. We also develop a metric for measuring the degree of ranking that exists with respect to static measurements taken directly from the function, as well as the measurement of dynamic ranking of hyperplanes during genetic search. We show that the degree of dynamic ranking induced by a simple genetic algorithm is highly correlated with the degree of static ranking that is inherent in the function, especially during the initial genera tions of search.

Connected through hyperedge HE-1 (induced by source paper "3 Representation Issues in Neighborhood Search and Evolutionary Algorithms"):
  with members:
    - "4 Implementing Application Specific Routines  Genetic algorithms in search, optimization, and machine learning. Reading, MA: Addison-Wesley."
    - "Evaluating Evolutionary Algorithms"
    - "Nonlinearity, Hyperplane Ranking and the Simple Genetic Algorithm"

Connected through hyperedge HE-2 (induced by source paper "Nonlinearity, Hyperplane Ranking and the Simple Genetic Algorithm"):
  with members:
    - "3 Representation Issues in Neighborhood Search and Evolutionary Algorithms"
    - "Walsh Functions and Predicting Problem Complexity"

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