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 "Towards Improving Case Adaptability with a Genetic Algorithm"):
  Abstract: Case combination is a difficult problem in Case Based Reasoning, as sub-cases often exhibit conflicts when merged together. In our previous work we formalized case combination by representing each case as a constraint satisfaction problem, and used the minimum conflicts algorithm to systematically synthesize the global solution. However, we also found instances of the problem in which the minimum conflicts algorithm does not perform case combination efficiently. In this paper we describe those situations in which initially retrieved cases are not easily adaptable, and propose a method by which to improve case adaptability with a genetic algorithm. We introduce a fitness function that maintains as much retrieved case information as possible, while also perturbing a sub-solution to allow subsequent case combination to proceed more efficiently.

Includes members:
  Member "Learning to Improve Case Adaptation by Introspective Reasoning and CBR":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Representing Self-knowledge for Introspection about Memory Search")
  Member "Synergy and Commonality in Case-Based and Constraint-Based Reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Dynamic Constraint Satisfaction using Case-Based Reasoning Techniques")
  Member "A CBR Integration From Inception to Productization":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Dynamic Constraint Satisfaction using Case-Based Reasoning Techniques")
  Member "Dynamic Constraint Satisfaction using Case-Based Reasoning Techniques":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Synergy and Commonality in Case-Based and Constraint-Based Reasoning")

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: Case_Based