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 "selective candidate framework with similarity selection rule for evolutionary optimization"):
  Abstract: This paper proposes to resolve limitations of the traditional one-reproduction (OR) framework which produces only one candidate in a single reproduction procedure. A selective-candidate framework with similarity selection rule (SCSS) is suggested to make possible, a selective direction of search. In the SCSS framework, M (M > 1) candidates are generated from each current solution by independently conducting the reproduction procedure M times. The winner is then determined by employing a similarity selection rule. To maintain balanced exploitation and exploration capabilities, an efficient similarity selection rule based on the Euclidian distances between each of the M candidates and the corresponding current solution is proposed. The SCSS framework can be easily applied to any evolutionary algorithms or swarm intelligences. Experiments conducted with 60 benchmark functions show the superiority of SCSS over OR in three classic, four state-of-the-art and four up-to-date algorithms.

Includes members:
  Member "multi layer competitive cooperative framework for performance enhancement of differential evolution":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "adaptive strategy in differential evolution via explicit exploitation and exploration controls")
  Member "differential evolution with event triggered impulsive control":
    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)