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 "nature inspired optimization algorithms challenges and open problems"):
  Abstract: Abstract   Many problems in science and engineering can be formulated as optimization problems, subject to complex nonlinear constraints. The solutions of highly nonlinear problems usually require sophisticated optimization algorithms, and traditional algorithms may struggle to deal with such problems. A current trend is to use nature-inspired algorithms due to their flexibility and effectiveness. However, there are some key issues concerning nature-inspired computation and swarm intelligence. This paper provides an in-depth review of some recent nature-inspired algorithms with the emphasis on their search mechanisms and mathematical foundations. Some challenging issues are identified and five open problems are highlighted, concerning the analysis of algorithmic convergence and stability, parameter tuning, mathematical framework, role of benchmarking and scalability. These problems are discussed with the directions for future research.

Includes members:
  Member "self adaptive decision making mechanisms to balance the execution of multiple tasks for a multi robots team":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "adaptive task allocation for heterogeneous multi robot teams with evolving and unknown robot capabilities")
  Member "swarm robotics in wireless distributed protocol design for coordinating robots involved in cooperative tasks":
    also connected through other hyperedges:
      (none)
  Member "new directional bat algorithm for continuous optimization problems":
    also connected through other hyperedges:
      (none)
  Member "a discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "from data to actions in intelligent transportation systems a prescription of functional requirements for model actionability")
  Member "an improved discrete bat algorithm for symmetric and asymmetric traveling salesman problems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "from data to actions in intelligent transportation systems a prescription of functional requirements for model actionability")
  Member "a comprehensive review of firefly algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "swarm intelligence past present and future")
  Member "a literature survey of benchmark functions for global optimisation problems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "global optimization via inverse distance weighting and radial basis functions")
  Member "multi objective flower algorithm for optimization":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a brief review of nature inspired algorithms for optimization")

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)