human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "two remarkable computational competencies of the simple genetic algorithm"):
  Abstract: Since the inception of genetic algorithmics the identication of computational eciencies of the simple genetic algorithm (SGA) has been an important goal. In this paper we distinguish between a computational competency of the SGA|an ecient, but narrow computational ability|and a computational prociency of the SGA|a computational ability that is both ecient and broad. Till date, attempts to deduce a computational prociency of the SGA have been unsuccessful. It may, however, be possible to inductively infer a computational prociency of the SGA from a set of related computational competencies that have been deduced. With this in mind we deduce two computational competencies of the SGA. These competencies, when considered together, point toward a remarkable computational prociency of the SGA. This prociency is pertinent to a general problem that is closely related to a well-known statistical problem at the cutting edge of computational genetics.

Includes members:
  Member "the fundamental problem with the building block hypothesis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the workings of genetic algorithms the genoclique fixing hypothesis")
  Member "sufficient conditions for coarse graining evolutionary dynamics":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the fundamental learning problem that genetic algorithms with uniform crossover solve efficiently and repeatedly as evolution proceeds")
  Member "recent results on no free lunch theorems for optimization":
    also connected through other hyperedges:
      (none)

Question: Please tell me which class the source paper 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)