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: "packing while traveling mixed integer programming for a class of nonlinear knapsack problems"
  Abstract: Packing and vehicle routing problems play an important role in the area of supply chain management. In this paper, we introduce a non-linear knapsack problem that occurs when packing items along a fixed route and taking into account travel time. We investigate constrained and unconstrained versions of the problem and show that both are \(\mathcal {NP}\)-hard. In order to solve the problems, we provide a pre-processing scheme as well as exact and approximate mixed integer programming (MIP) solutions. Our experimental results show the effectiveness of the MIP solutions and in particular point out that the approximate MIP approach often leads to near optimal results within far less computation time than the exact approach.

Connected through hyperedge HE-1 (induced by source paper "analysis of baseline evolutionary algorithms for the packing while travelling problem"):
  with members:
    - "precise runtime analysis for plateaus"
    - "a fully polynomial time approximation scheme for packing while traveling"
    - "evolutionary computation for multicomponent problems opportunities and future directions"
    - "the packing while traveling problem"

Connected through hyperedge HE-2 (induced by source paper "a fully polynomial time approximation scheme for packing while traveling"):
  with members:
    - "approximation algorithms for route planning with nonlinear objectives"
    - "the packing while traveling problem"

Connected through hyperedge HE-3 (induced by source paper "a case study of algorithm selection for the traveling thief problem"):
  with members:
    - "evolutionary computation for multicomponent problems opportunities and future directions"
    - "aslib a benchmark library for algorithm selection"
    - "a multi engine approach to answer set programming"
    - "claspfolio 2 advances in algorithm selection for answer set programming"
    - "algorithm runtime prediction methods evaluation"
    - "algorithm selection for combinatorial search problems a survey"
    - "satzilla portfolio based algorithm selection for sat"

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)