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: "Overview of Selection Schemes and a Suggested Classification"
  Abstract: In this paper we emphasize the role of selection in evolutionary algorithms. We briefly review some of the most common selection schemes from the fields of Genetic Algorithms, Evolution Strategies and Genetic Programming. However we do not classify selection schemes according to which group of evolutionary algorithm they belong to, but rather distinguish between parent selection schemes, global competition and replacement schemes, and local competition and replacement schemes. This paper does not intend to fully review and analyse each of the presented selection schemes but tries to be a short reference for standard and some more advanced selection schemes.

Connected through hyperedge HE-1 (induced by source paper "A Comparison of Selection Schemes used in Genetic Algorithms"):
  with members:
    - "4 Implementing Application Specific Routines  Genetic algorithms in search, optimization, and machine learning. Reading, MA: Addison-Wesley."
    - "Determining Successful Negotiation Strategies: An Evolutionary Approach"
    - "Tackling the Boolean Even N Parity Problem with Genetic Programming and Limited-Error Fitness standard GP"
    - "Evolving Compact Solutions in Genetic Programming: A Case Study"
    - "Genetic Programming and Redundancy"

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