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: "evolutionary artificial neural network based on chemical reaction optimization"
  Abstract: Evolutionary algorithms (EAs) are very popular tools to design and evolve artificial neural networks (ANNs), especially to train them. These methods have advantages over the conventional backpropagation (BP) method because of their low computational requirement when searching in a large solution space. In this paper, we employ Chemical Reaction Optimization (CRO), a newly developed global optimization method, to replace BP in training neural networks. CRO is a population-based metaheuristics mimicking the transition of molecules and their interactions in a chemical reaction. Simulation results show that CRO outperforms many EA strategies commonly used to train neural networks.

Connected through hyperedge HE-1 (induced by source paper "adaptive chemical reaction optimization for global numerical optimization"):
  with members:
    - "a social spider algorithm for global optimization"
    - "sensor deployment for air pollution monitoring using public transportation system"
    - "real coded chemical reaction optimization with different perturbation functions"

Connected through hyperedge HE-2 (induced by source paper "chemical reaction optimization for the set covering problem"):
  with members:
    - "optimal v2g scheduling of electric vehicles and unit commitment using chemical reaction optimization"
    - "sensor deployment for air pollution monitoring using public transportation system"
    - "real coded chemical reaction optimization with different perturbation functions"
    - "an indirect genetic algorithm for set covering problems"
    - "an efficient mean field approach to the set covering problem"

Connected through hyperedge HE-3 (induced by source paper "an inter molecular adaptive collision scheme for chemical reaction optimization"):
  with members:
    - "optimal v2g scheduling of electric vehicles and unit commitment using chemical reaction optimization"
    - "sensor deployment for air pollution monitoring using public transportation system"
    - "real coded chemical reaction optimization with different perturbation functions"

Connected through hyperedge HE-4 (induced by source paper "optimal v2g scheduling of electric vehicles and unit commitment using chemical reaction optimization"):
  with members:
    - "a multi layer market for vehicle to grid energy trading in the smart grid"
    - "sensor deployment for air pollution monitoring using public transportation system"
    - "real coded chemical reaction optimization with different perturbation functions"

Connected through hyperedge HE-5 (induced by source paper "real coded chemical reaction optimization with different perturbation functions"):
  with members:
    - "sensor deployment for air pollution monitoring using public transportation system"

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)