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 "Plateaus and Plateau Search in Boolean Satisfiability Problems: When to Give Up Searching and Start Again"):
  Abstract: We empirically investigate the properties of the search space and the behavior of hill-climbing search for solving hard, random Boolean satisfiability problems. In these experiments it was frequently observed that rather than attempting to escape from plateaus by extensive search, it was better to completely restart from a new random initial state. The optimum point to terminate search and restart was determined empirically over a range of problem sizes and complexities. The growth rate of the optimum cutoff is faster than linear with the number of features, although the exact growth rate was not determined. Based on these empirical results, a simple run-time heuristic is proposed to determine when to give up searching a plateau and restart. This heuristic closely approximates the empirically determined optimum values over a range of problem sizes and complexities, and consequently allows the search algorithm to automatically adjust its strategy for each particular problem without prior knowledge of the problem's complexity.

Includes members:
  Member "When Gravity Fails: Local Search Topology":
    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