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 Comparison between Cellular Encoding and Direct Encoding for Genetic Neural Networks"):
  Abstract: This paper compares the efficiency of two encoding schemes for Artificial Neural Networks optimized by evolutionary algorithms. Direct Encoding encodes the weights for an a priori fixed neural network architecture. Cellular Encoding encodes both weights and the architecture of the neural network. In previous studies, Direct Encoding and Cellular Encoding have been used to create neural networks for balancing 1 and 2 poles attached to a cart on a fixed track. The poles are balanced by a controller that pushes the cart to the left or the right. In some cases velocity information about the pole and cart is provided as an input; in other cases the network must learn to balance a single pole without velocity information. A careful study of the behavior of these systems suggests that it is possible to balance a single pole with velocity information as an input and without learning to compute the velocity. A new fitness function is introduced that forces the neural network to compute the velocity. By using this new fitness function and tuning the syntactic constraints used with cellular encoding, we achieve a tenfold speedup over our previous study and solve a more difficult problem: balancing two poles when no information about the velocity is provided as input.

Includes members:
  Member "An Evolutionary Method to Find Good Building-Blocks for Architectures of Artificial Neural Networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Proben1 A Set of Neural Network Benchmark Problems and Benchmarking Rules")
  Member "The Role of Development in Genetic Algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Evolution in Time and Space The Parallel Genetic Algorithm")
  Member "Discovery of Symbolic, Neuro-Symbolic and Neural Networks with Parallel Distributed Genetic Programming":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Evolution of Pseudo-colouring Algorithms for Image Enhancement with Interactive Genetic Programming")
  Member "Cellular Encoding Applied to Neurocontrol":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Culling Teaching -1 Culling and Teaching in Neuro-evolution")
  Member "AUTOMATED TOPOLOGY AND SIZING OF ANALOG CIRCUITS AUTOMATED DESIGN OF BOTH THE TOPOLOGY AND SIZING":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "Use of Architecture-Altering Operations to Dynamically Adapt a Three-Way Analog Source Identification Circuit to Accommodate")
  Member "Evolving Deterministic Finite Automata Using Cellular Encoding programming and cellular encoding. Programs are evolved that":
    also connected through other hyperedges:
      (none)

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