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: "An Overview of Evolutionary Computation"
  Abstract: Evolutionary computation uses computational models of evolution - ary processes as key elements in the design and implementation of computer-based problem solving systems. In this paper we provide an overview of evolutionary computation, and describe several evolutionary algorithms that are currently of interest. Important similarities and di fferences are noted, which lead to a discussion of important issues that need to be resolved, and items for future research.

Connected through hyperedge HE-1 (induced by source paper "An Evolutionary Approach to Combinatorial Optimization Problems"):
  with members:
    - "4 Implementing Application Specific Routines  Genetic algorithms in search, optimization, and machine learning. Reading, MA: Addison-Wesley."
    - "Stochastic Hillclimbing as a Baseline Method for Evaluating Genetic Algorithms"

Connected through hyperedge HE-2 (induced by source paper "In Proceedings of the 1997 Sian Kaan International Workshop on Neural Networks and Neurocontrol. Real-Valued"):
  with members:
    - "Instance Pruning Techniques"

Connected through hyperedge HE-3 (induced by source paper "A COMPRESSION ALGORITHM FOR PROBABILITY TRANSITION MATRICES"):
  with members:
    - "Using Markov Chains to Analyze GAFOs"
    - "Analyzing GAs Using Markov Models with Semantically Ordered and Lumped States"

Connected through hyperedge HE-4 (induced by source paper "EVOLVING REPRESENTATIONS OF DESIGN CASES AND THEIR USE IN CREATIVE DESIGN"):
  with members:
    - "EMERGENT BEHAVIOUR IN CO-EVOLUTIONARY DESIGN"
    - "A Survey of Evolution Strategies"

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