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 "Case-Based Probability Factoring in Bayesian Belief Networks"):
  Abstract: Bayesian network inference can be formulated as a combinatorial optimization problem, concerning in the computation of an optimal factoring for the distribution represented in the net. Since the determination of an optimal factoring is a computationally hard problem, heuristic greedy strategies able to find approximations of the optimal factoring are usually adopted. In the present paper we investigate an alternative approach based on a combination of genetic algorithms (GA) and case-based reasoning (CBR). We show how the use of genetic algorithms can improve the quality of the computed factoring in case a static strategy is used (as for the MPE computation), while the combination of GA and CBR can still provide advantages in the case of dynamic strategies. Some preliminary results on different kinds of nets are then reported.

Includes members:
  Member "Efficient Inference in Bayes Networks As A Combinatorial Optimization Problem":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Sensitivities: An Alternative to Conditional Probabilities for Bayesian Belief Networks")
  Member "4 Implementing Application Specific Routines  Genetic algorithms in search, optimization, and machine learning. Reading, MA: Addison-Wesley.":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Evolving Graphs and Networks with Edge Encoding: Preliminary Report")
  Member "LIBGA: A USER-FRIENDLY WORKBENCH FOR ORDER-BASED GENETIC ALGORITHM RESEARCH":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Heuristic for Improved Genetic Bin Packing")
  Member "Decision-Theoretic Case-Based Reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Cooperative Bayesian and Case-Based Reasoning for Solving Multiagent Planning Tasks")

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