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: "An Evolutionary Approach to Time Constrained Routing Problems"
  Abstract: Routing problems are an important class of planning problems. Usually there are many different constraints and optimization criteria involved, and it is difficult to find general methods for solving routing problems. We propose an evolutionary solver for such planning problems. An instance of this solver has been tested on a specific routing problem with time constraints. The performance of this evolutionary solver is compared to a biased random solver and a biased hillclimber solver. Results show that the evolutionary solver performs significantly better than the other two solvers.

Connected through hyperedge HE-1 (induced by source paper "Evolutionary Computation in Air Traffic Control Planning"):
  with members:
    (none)

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