human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups papers that share a common citing paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "A Survey of Intron Research in Genetics"):
  Abstract: A brief survey of biological research on non-coding DNA is presented here. There has been growing interest in the effects of non-coding segments in evolutionary algorithms (EAs). To better understand and conduct research on non-coding segments and EAs, it is important to understand the biological background of such work. This paper begins with a review of basic genetics and terminology, describes the different types of non-coding DNA, and then surveys recent intron research.

Includes members:
  Member "Empirical studies of the genetic algorithm with non-coding segments":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "4 Implementing Application Specific Routines  Genetic algorithms in search, optimization, and machine learning. Reading, MA: Addison-Wesley.")
  Member "Complexity Compression and Evolution":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Evolving Compact Solutions in Genetic Programming: A Case Study")
  Member "Duplication of Coding Segments in Genetic Programming":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "A Comparison of Random Search versus Genetic Programming as Engines for Collective Adaptation")
  Member "A comparison of the fixed and floating building block representation in the genetic algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "The Royal Road for Genetic Algorithms: Fitness Landscapes and GA Performance")
  Member "Evolving Turing-Complete Programs for a Register Machine with Self-modifying Code":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "A Genome Compiler for High Performance Genetic Programming")

Question: Please tell me which class the citing paper (i.e., the source paper of the center hyperedge) 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