human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "the node weight dependent traveling salesperson problem approximation algorithms and randomized search heuristics"):
  Abstract: Several important optimization problems in the area of vehicle routing can be seen as a variant of the classical Traveling Salesperson Problem (TSP). In the area of evolutionary computation, the traveling thief problem (TTP) has gained increasing interest over the last 5 years. In this paper, we investigate the effect of weights on such problems, in the sense that the cost of traveling increases with respect to the weights of nodes already visited during a tour. This provides abstractions of important TSP variants such as the Traveling Thief Problem and time dependent TSP variants, and allows to study precisely the increase in difficulty caused by weight dependence. We provide a 3.59-approximation for this weight dependent version of TSP with metric distances and bounded positive weights. Furthermore, we conduct experimental investigations for simple randomized local search with classical mutation operators and two variants of the state-of-the-art evolutionary algorithm EAX adapted to the weighted TSP. Our results show the impact of the node weights on the position of the nodes in the resulting tour.

Includes members:
  Member "evolutionary computation plus dynamic programming for the bi objective travelling thief problem":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a non dominated sorting based customized random key genetic algorithm for the bi objective traveling thief problem")
  Member "exact approaches for the travelling thief problem":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a non dominated sorting based customized random key genetic algorithm for the bi objective traveling thief problem")
  Member "a fully polynomial time approximation scheme for packing while traveling":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a non dominated sorting based customized random key genetic algorithm for the bi objective traveling thief problem")
  Member "a case study of algorithm selection for the traveling thief problem":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a non dominated sorting based customized random key genetic algorithm for the bi objective traveling thief problem")
  Member "evolutionary computation for multicomponent problems opportunities and future directions":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "analysis of baseline evolutionary algorithms for the packing while travelling problem")

Question: Please tell me which class the source paper 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.NE(Neural and Evolutionary Computing)