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 case study of algorithm selection for the traveling thief problem"
  Abstract: Many real-world problems are composed of several interacting components. In order to facilitate research on such interactions, the Traveling Thief Problem (TTP) was created in 2013 as the combination of two well-understood combinatorial optimization problems. #R##N#With this article, we contribute in four ways. First, we create a comprehensive dataset that comprises the performance data of 21 TTP algorithms on the full original set of 9720 TTP instances. Second, we define 55 characteristics for all TPP instances that can be used to select the best algorithm on a per-instance basis. Third, we use these algorithms and features to construct the first algorithm portfolios for TTP, clearly outperforming the single best algorithm. Finally, we study which algorithms contribute most to this portfolio.

Connected through hyperedge HE-1 (induced by source paper "the node weight dependent traveling salesperson problem approximation algorithms and randomized search heuristics"):
  with members:
    - "evolutionary computation plus dynamic programming for the bi objective travelling thief problem"
    - "exact approaches for the travelling thief problem"
    - "a fully polynomial time approximation scheme for packing while traveling"
    - "evolutionary computation for multicomponent problems opportunities and future directions"

Connected through hyperedge HE-2 (induced by source paper "a non dominated sorting based customized random key genetic algorithm for the bi objective traveling thief problem"):
  with members:
    - "evolutionary computation plus dynamic programming for the bi objective travelling thief problem"
    - "exact approaches for the travelling thief problem"
    - "a fully polynomial time approximation scheme for packing while traveling"

Connected through hyperedge HE-3 (induced by source paper "a cooperative coordination solver for travelling thief problems"):
  with members:
    - "evolutionary computation for multicomponent problems opportunities and future directions"

Connected through hyperedge HE-4 (induced by source paper "predicting good configurations for github and stack overflow topic models"):
  with members:
    - "categorizing the content of github readme files"
    - "what is wrong with topic modeling and how to fix it using search based software engineering"
    - "better software analytics via duo data mining algorithms using used by optimizers"
    - "automated algorithm selection survey and perspectives"
    - "data driven search based software engineering"
    - "sotorrent reconstructing and analyzing the evolution of stack overflow posts"
    - "aslib a benchmark library for algorithm selection"
    - "algorithm selection for combinatorial search problems a survey"

Connected through hyperedge HE-5 (induced by source paper "evolutionary computation plus dynamic programming for the bi objective travelling thief problem"):
  with members:
    - "exact approaches for the travelling thief problem"
    - "a fully polynomial time approximation scheme for packing while traveling"
    - "the packing while traveling problem"

Connected through hyperedge HE-6 (induced by source paper "exact approaches for the travelling thief problem"):
  with members:
    - "a fully polynomial time approximation scheme for packing while traveling"
    - "cosolver2b an efficient local search heuristic for the travelling thief problem"
    - "the packing while traveling 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)