human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "a memetic algorithm for the generalized traveling salesman problem"
  Abstract: The generalized traveling salesman problem (GTSP) is an extension of the well-known traveling salesman problem. In GTSP, we are given a partition of cities into groups and we are required to find a minimum length tour that includes exactly one city from each group. The recent studies on this subject consider different variations of a memetic algorithm approach to the GTSP. The aim of this paper is to present a new memetic algorithm for GTSP with a powerful local search procedure. The experiments show that the proposed algorithm clearly outperforms all of the known heuristics with respect to both solution quality and running time. While the other memetic algorithms were designed only for the symmetric GTSP, our algorithm can solve both symmetric and asymmetric instances.

Connected through hyperedge HE-1 (induced by source paper "conditional markov chain search for the generalised travelling salesman problem for warehouse order picking"):
  with members:
    - "conditional markov chain search for the simple plant location problem improves upper bounds on twelve korkel ghosh instances"
    - "algorithm configuration learning policies for the quick termination of poor performers"
    - "the generalized traveling salesman problem solved with ant algorithms"
    - "markov chain methods for the bipartite boolean quadratic programming problem"
    - "efficient local search algorithms for known and new neighborhoods for the generalized traveling salesman problem"
    - "lin kernighan heuristic adaptations for the generalized traveling salesman problem"
    - "empirical evaluation of construction heuristics for the multidimensional assignment problem"

Connected through hyperedge HE-2 (induced by source paper "a memetic algorithm based on breakout local search for the generalized travelling salesman problem"):
  with members:
    - "efficient local search algorithms for known and new neighborhoods for the generalized traveling salesman problem"
    - "lin kernighan heuristic adaptations for the generalized traveling salesman problem"

Connected through hyperedge HE-3 (induced by source paper "combining monte carlo and hyper heuristic methods for the multi mode resource constrained multi project scheduling problem"):
  with members:
    - "iterated variable neighborhood search for the resource constrained multi mode multi project scheduling problem"
    - "a new approach to population sizing for memetic algorithms a case study for the multidimensional assignment problem"

Connected through hyperedge HE-4 (induced by source paper "generalized multiple depot traveling salesmen problem polyhedral study and exact algorithm"):
  with members:
    - "multiple depot ring star problem a polyhedral study and exact algorithm"

Connected through hyperedge HE-5 (induced by source paper "design evaluation and analysis of combinatorial optimization heuristic algorithms"):
  with members:
    - "the generalized traveling salesman problem solved with ant algorithms"
    - "a new approach to population sizing for memetic algorithms a case study for the multidimensional assignment problem"
    - "local search heuristics for the multidimensional assignment problem"
    - "empirical evaluation of construction heuristics for the multidimensional assignment problem"
    - "a memetic algorithm for the multidimensional assignment problem"
    - "generalized traveling salesman problem reduction algorithms"

Connected through hyperedge HE-6 (induced by source paper "efficient local search algorithms for known and new neighborhoods for the generalized traveling salesman problem"):
  with members:
    - "the generalized traveling salesman problem solved with ant algorithms"
    - "lin kernighan heuristic adaptations for the generalized traveling salesman problem"
    - "local search heuristics for the multidimensional assignment problem"
    - "generalized traveling salesman problem reduction algorithms"

Connected through hyperedge HE-7 (induced by source paper "an efficient hybrid ant colony system for the generalized traveling salesman problem"):
  with members:
    - "the generalized traveling salesman problem solved with ant algorithms"
    - "efficient local search algorithms for known and new neighborhoods for the generalized traveling salesman problem"
    - "lin kernighan heuristic adaptations for the generalized traveling salesman problem"
    - "local search heuristics for the multidimensional assignment problem"

Connected through hyperedge HE-8 (induced by source paper "a unifying survey of reinforced sensitive and stigmergic agent based approaches for e gtsp"):
  with members:
    - "sensitive ants in solving the generalized vehicle routing problem"
    - "efficient local search algorithms for known and new neighborhoods for the generalized traveling salesman problem"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.DS(Data Structures and Algorithms)