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: "Genetic Algorithm based Scheduling in a Dynamic Manufacturing Environment"
  Abstract: The application of adaptive optimization strategies to scheduling in manufacturing systems has recently become a research topic of broad interest. Population based approaches to scheduling predominantly treat static data models, whereas real-world scheduling tends to be a dynamic problem. This paper briefly outlines the application of a genetic algorithm to the dynamic job shop problem arising in production scheduling. First we sketch a genetic algorithm which can handle release times of jobs. In a second step a preceding simulation method is used to improve the performance of the algorithm. Finally the job shop is regarded as a nondeterministic optimization problem arising from the occurrence of job releases. Temporal Decomposition leads to a scheduling control that interweaves both simulation in time and genetic search.

Connected through hyperedge HE-1 (induced by source paper "A Generalized Permutation Approach to Job Shop Scheduling with Genetic Algorithms"):
  with members:
    - "The Application of a Parallel Genetic Algorithm to the n=m=P=C max Flowshop Problem"
    - "Using Neural Networks and Genetic Algorithms as Heuristics for NP-Complete Problems"
    - "Control of Parallel Population Dynamics by Social-Like Behavior of GA-Individuals"

Connected through hyperedge HE-2 (induced by source paper "Control of Parallel Population Dynamics by Social-Like Behavior of GA-Individuals"):
  with members:
    - "A Generalized Permutation Approach to Job Shop Scheduling with Genetic Algorithms"

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