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: "design mining interacting wind turbines"
  Abstract: An initial study has recently been presented of surrogate-assisted evolutionary algorithms used to design vertical-axis wind turbines wherein candidate prototypes are evaluated under fan-generated wind conditions after being physically instantiated by a 3D printer. Unlike other approaches, such as computational fluid dynamics simulations, no mathematical formulations were used and no model assumptions were made. This paper extends that work by exploring alternative surrogate modelling and evolutionary techniques. The accuracy of various modelling algorithms used to estimate the fitness of evaluated individuals from the initial experiments is compared. The effect of temporally windowing surrogate model training samples is explored. A surrogate-assisted approach based on an enhanced local search is introduced; and alternative coevolution collaboration schemes are examined.

Connected through hyperedge HE-1 (induced by source paper "towards an evolvable cancer treatment simulator"):
  with members:
    - "on design mining coevolution and surrogate models"
    - "dynamic multi objectives optimization with a changing number of objectives"
    - "toward the coevolution of novel vertical axis wind turbines"

Connected through hyperedge HE-2 (induced by source paper "on design mining coevolution and surrogate models"):
  with members:
    - "toward the coevolution of novel vertical axis wind turbines"
    - "towards the evolution of vertical axis wind turbines using supershapes"

Connected through hyperedge HE-3 (induced by source paper "design mining microbial fuel cell cascades"):
  with members:
    - "on design mining coevolution and surrogate models"
    - "toward the coevolution of novel vertical axis wind turbines"
    - "towards the evolution of vertical axis wind turbines using supershapes"

Connected through hyperedge HE-4 (induced by source paper "design mining vawt wind farms"):
  with members:
    - "toward the coevolution of novel vertical axis wind turbines"
    - "towards the evolution of vertical axis wind turbines using supershapes"

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)