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: "the generalized traveling salesman problem solved with ant algorithms"
  Abstract: A well known #N#                  #N#                    #N#                  #N#                  $$\mathcal{NP}$$#N#                  #N#                    #N#                  #N#                -hard problem called the generalized traveling salesman problem (GTSP) is considered. In GTSP the nodes of a complete undirected graph are partitioned into clusters. The objective is to find a minimum cost tour passing through exactly one node from each cluster. An exact exponential time algorithm and an effective meta-heuristic algorithm for the problem are presented. The meta-heuristic proposed is a modified Ant Colony System (ACS) algorithm called reinforcing Ant Colony System which introduces new correction rules in the ACS algorithm. Computational results are reported for many standard test problems. The proposed algorithm is competitive with the other already proposed heuristics for the GTSP in both solution quality and computational time.

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"
    - "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"
    - "a memetic algorithm 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 "relating complexities for the reflexive study of complex systems"):
  with members:
    - "self referential basis of undecidable dynamics from the liar paradox and the halting problem to the edge of chaos"
    - "a spatialised bibliometrics approach of a scientific journal production"
    - "an applied knowledge framework to study complex systems"
    - "exploration of an interdisciplinary scientific landscape"
    - "when the map is better than the territory"
    - "a hybrid network grid model of urban morphogenesis and optimization"
    - "complexity measurement of natural and artificial languages"
    - "the world as evolving information"

Connected through hyperedge HE-3 (induced by source paper "on the resilience of an ant based system in fuzzy environments an empirical study"):
  with members:
    - "sensitive ants in solving the generalized vehicle routing problem"

Connected through hyperedge HE-4 (induced by source paper "design evaluation and analysis of combinatorial optimization heuristic algorithms"):
  with members:
    - "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"
    - "a memetic algorithm for the generalized traveling salesman 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-5 (induced by source paper "efficient local search algorithms for known and new neighborhoods for the generalized traveling salesman problem"):
  with members:
    - "lin kernighan heuristic adaptations for the generalized traveling salesman problem"
    - "local search heuristics for the multidimensional assignment problem"
    - "a memetic algorithm for the generalized traveling salesman problem"
    - "generalized traveling salesman problem reduction algorithms"

Connected through hyperedge HE-6 (induced by source paper "an efficient hybrid ant colony system for the generalized traveling 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"
    - "local search heuristics for the multidimensional assignment problem"
    - "a memetic algorithm 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.AI(Artificial Intelligence)