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: "real coded chemical reaction optimization with different perturbation functions"
  Abstract: Chemical Reaction Optimization (CRO) is a powerful metaheuristic which mimics the interactions of molecules in chemical reactions to search for the global optimum. The perturbation function greatly influences the performance of CRO on solving different continuous problems. In this paper, we study four different probability distributions, namely, the Gaussian distribution, the Cauchy distribution, the exponential distribution, and a modified Rayleigh distribution, for the perturbation function of CRO. Different distributions have different impacts on the solutions. The distributions are tested by a set of wellknown benchmark functions and simulation results show that problems with different characteristics have different preference on the distribution function. Our study gives guidelines to design CRO for different types of optimization problems.

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"
    - "evolutionary artificial neural network based on chemical reaction optimization"

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"
    - "evolutionary artificial neural network based on chemical reaction optimization"
    - "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"
    - "evolutionary artificial neural network based on chemical reaction optimization"

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"
    - "evolutionary artificial neural network based on chemical reaction optimization"

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)