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: "local search heuristics for the multidimensional assignment problem"
  Abstract: The Multidimensional Assignment Problem (MAP) (abbreviated s-AP in the case of s dimensions) is an extension of the well-known assignment problem. The most studied case of MAP is 3-AP, though the problems with larger values of s also have a large number of applications. We consider several known neighborhoods, generalize them and propose some new ones. The heuristics are evaluated both theoretically and experimentally and dominating algorithms are selected. We also demonstrate that a combination of two neighborhoods may yield a heuristics which is superior to both of its components.

Connected through hyperedge HE-1 (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"
    - "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-2 (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"
    - "a memetic algorithm for the generalized traveling salesman problem"
    - "generalized traveling salesman problem reduction algorithms"

Connected through hyperedge HE-3 (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"
    - "a memetic algorithm for the generalized traveling salesman problem"

Connected through hyperedge HE-4 (induced by source paper "a new approach to population sizing for memetic algorithms a case study for the multidimensional assignment problem"):
  with members:
    - "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"

Connected through hyperedge HE-5 (induced by source paper "lin kernighan heuristic adaptations for the generalized traveling salesman problem"):
  with members:
    - "a memetic algorithm for the generalized traveling salesman problem"

Connected through hyperedge HE-6 (induced by source paper "a memetic algorithm for the multidimensional assignment problem"):
  with members:
    - "empirical evaluation of construction heuristics for the multidimensional assignment 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)