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 "Program Optimization for Faster Genetic Programming"):
  Abstract: We have used genetic programming to develop efficient image processing software. The ultimate goal of our work is to detect certain signs of breast cancer that cannot be detected with current segmentation and classification methods. Traditional techniques do a relatively good job of segmenting and classifying small-scale features of mammo-grams, such as micro-calcification clusters. Our strongly-typed genetic programs work on a multi-resolution representation of the mammogram, and they are aimed at handling features at medium and large scales, such as stel-lated lesions and architectural distortions. The main problem is efficiency. We employ program optimizations that speed up the evolution process by more than a factor of ten. In this paper we present our genetic programming system, and we describe our optimization techniques.

Includes members:
  Member "Strongly Typed Genetic Programming":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "A Comparison of Random Search versus Genetic Programming as Engines for Collective Adaptation")
  Member "Evolution of Pseudo-colouring Algorithms for Image Enhancement with Interactive Genetic Programming":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Evolving Visual Routines")

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