human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent groups of papers sharing a common citing paper.

Details of the hypergraph:
Center node: "Fast EquiPartitioning of Rectangular Domains using Stripe Decomposition"
  Abstract: This paper presents a fast algorithm that provides optimal or near optimal solutions to the minimum perimeter problem on a rectangular grid. The minimum perimeter problem is to partition a grid of size M N into P equal area regions while minimizing the total perimeter of the regions. The approach taken here is to divide the grid into stripes that can be filled completely with an integer number of regions . This striping method gives rise to a knapsack integer program that can be efficiently solved by existing codes. The solution of the knapsack problem is then used to generate the grid region assignments. An implementation of the algorithm partitioned a 1000 1000 grid into 1000 regions to a provably optimal solution in less than one second. With sufficient memory to hold the M N grid array, extremely large minimum perimeter problems can be solved easily.

Connected through hyperedge HE-1 (induced by source paper "Optimal and Asymptotically Optimal Equi-partition of Rectangular Domains via Stripe Decomposition"):
  with members:
    - "Genetic Algorithms as Multi-Coordinators in Large-Scale Optimization"
    - "Minimum-Perimeter Domain Assignment"

Connected through hyperedge HE-2 (induced by source paper "Genetic Algorithms as Multi-Coordinators in Large-Scale Optimization"):
  with members:
    - "A Cooperative Coevolutionary Approach to Function Optimization"
    - "Optimal and Asymptotically Optimal Equi-partition of Rectangular Domains via Stripe Decomposition"

Question: Please tell me which class the center node 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