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 comprehensive review of firefly algorithms"
  Abstract: Abstract   The firefly algorithm has become an increasingly important tool of Swarm Intelligence that has been applied in almost all areas of optimization, as well as engineering practice. Many problems from various areas have been successfully solved using the firefly algorithm and its variants. In order to use the algorithm to solve diverse problems, the original firefly algorithm needs to be modified or hybridized. This paper carries out a comprehensive review of this living and evolving discipline of Swarm Intelligence, in order to show that the firefly algorithm could be applied to every problem arising in practice. On the other hand, it encourages new researchers and algorithm developers to use this simple and yet very efficient algorithm for problem solving. It often guarantees that the obtained results will meet the expectations.

Connected through hyperedge HE-1 (induced by source paper "nature inspired optimization algorithms challenges and open problems"):
  with members:
    - "self adaptive decision making mechanisms to balance the execution of multiple tasks for a multi robots team"
    - "swarm robotics in wireless distributed protocol design for coordinating robots involved in cooperative tasks"
    - "new directional bat algorithm for continuous optimization problems"
    - "a discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy"
    - "an improved discrete bat algorithm for symmetric and asymmetric traveling salesman problems"
    - "a literature survey of benchmark functions for global optimisation problems"
    - "multi objective flower algorithm for optimization"
    - "bat algorithm literature review and applications"

Connected through hyperedge HE-2 (induced by source paper "swarm intelligence past present and future"):
  with members:
    - "a discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy"
    - "an improved discrete bat algorithm for symmetric and asymmetric traveling salesman problems"
    - "random key cuckoo search for the travelling salesman problem"
    - "bat algorithm literature review and applications"

Connected through hyperedge HE-3 (induced by source paper "why the firefly algorithm works"):
  with members:
    - "a discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy"

Connected through hyperedge HE-4 (induced by source paper "an improved discrete bat algorithm for symmetric and asymmetric traveling salesman problems"):
  with members:
    - "combinatorial optimization problems with uncertain costs and the owa criterion"
    - "bat algorithm literature review and applications"

Connected through hyperedge HE-5 (induced by source paper "a brief review of nature inspired algorithms for optimization"):
  with members:
    - "circle detection using electro magnetism optimization"
    - "multi objective flower algorithm for optimization"
    - "distributed graph coloring an approach based on the calling behavior of japanese tree frogs"
    - "gene expression programming a new adaptive algorithm for solving problems"

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.NE(Neural and Evolutionary Computing)