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: "biobjective performance assessment with the coco platform"
  Abstract: This document details the rationales behind assessing the performance of numerical black-box optimizers on multi-objective problems within the COCO platform and in particular on the biobjective test suite bbob-biobj. The evaluation is based on a hypervolume of all non-dominated solutions in the archive of candidate solutions and measures the runtime until the hypervolume value succeeds prescribed target values.

Connected through hyperedge HE-1 (induced by source paper "using well understood single objective functions in multiobjective black box optimization test suites"):
  with members:
    - "coco the experimental procedure"
    - "coco a platform for comparing continuous optimizers in a black box setting"

Connected through hyperedge HE-2 (induced by source paper "coco a platform for comparing continuous optimizers in a black box setting"):
  with members:
    - "coco the experimental procedure"
    - "coco performance assessment"
    - "coco the bi objective black box optimization benchmarking bbob biobj test suite"
    - "evaluating las vegas algorithms pitfalls and remedies"
    - "benchmarking optimization software with performance profiles"

Connected through hyperedge HE-3 (induced by source paper "coco performance assessment"):
  with members:
    - "coco the experimental procedure"
    - "coco a platform for comparing continuous optimizers in a black box setting"
    - "evaluating las vegas algorithms pitfalls and remedies"
    - "benchmarking optimization software with performance profiles"

Connected through hyperedge HE-4 (induced by source paper "coco the bi objective black box optimization benchmarking bbob biobj test suite"):
  with members:
    - "coco the experimental procedure"
    - "coco a platform for comparing continuous optimizers in a black box setting"

Connected through hyperedge HE-5 (induced by source paper "surrogate assisted partial order based evolutionary optimisation"):
  with members:
    - "coco the bi objective black box optimization benchmarking bbob biobj test suite"

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)