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: "The Evolution of Communication Schemes Over Continuous Channels"
  Abstract: Many problems impede the design of multi-agent systems, not the least of which is the passing of information between agents. While others hand implement communication routes and semantics, we explore a method by which communication can evolve. In the experiments described here, we model agents as connectionist networks. We supply each agent with a number of communications channels implemented by the addition of both input and output units for each channel. The output units initiate environmental signals whose amplitude decay over distance and are perturbed by environmental noise. An agent does not receive input from other individuals, rather the agents input reects the summation of all other agents output signals along that channel. Because we use real-valued activations, the agents communicate using real-valued vectors. Under our evolutionary program, GNARL, the agents coevolve a communication scheme over continuous channels which conveys task-spe cific information.

Connected through hyperedge HE-1 (induced by source paper "Coevolving Communicative Behavior in a Linear Pursuer-Evader Game"):
  with members:
    - "An Evolutionary Algorithm that Constructs Recurrent Neural Networks"

Connected through hyperedge HE-2 (induced by source paper "An Evolutionary Algorithm that Constructs Recurrent Neural Networks"):
  with members:
    - "4 Implementing Application Specific Routines  Genetic algorithms in search, optimization, and machine learning. Reading, MA: Addison-Wesley."
    - "Evolving Graphs and Networks with Edge Encoding: Preliminary Report"
    - "Coevolving Communicative Behavior in a Linear Pursuer-Evader Game"

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