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: "Evolutionary Programming and Evolution Strategies: Similarities and Differences"
  Abstract: Evolutionary Programming and Evolution Strategies, rather similar representatives of a class of probabilistic optimization algorithms gleaned from the model of organic evolution, are discussed and compared to each other with respect to similarities and differences of their basic components as well as their performance in some experimental runs. Theoretical results on global convergence, step size control for a strictly convex, quadratic function and an extension of the convergence rate theory for Evolution Strategies are presented and discussed with respect to their implications on Evolutionary Programming.

Connected through hyperedge HE-1 (induced by source paper "Multi-parent Recombination"):
  with members:
    - "Genetic algorithms with multi-parent recombination"
    - "Orgy in the Computer: Multi-Parent Reproduction in Genetic Algorithms"
    - "Adapting Crossover in Evolutionary Algorithms"

Connected through hyperedge HE-2 (induced by source paper "An Analysis of the MAX Problem in Genetic Programming hold only in some cases, in"):
  with members:
    - "The Troubling Aspects of a Building Block Hypothesis for Genetic Programming"
    - "Modeling the Evolution of Motivation"
    - "The Schema Theorem and Price's Theorem"
    - "Genetic Programming with One-Point Crossover and Point Mutation"

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