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: "an inflationary differential evolution algorithm for space trajectory optimization"
  Abstract: In this paper, we define a discrete dynamical system that governs the evolution of a population of agents. From the dynamical system, a variant of differential evolution (DE) is derived. It is then demonstrated that, under some assumptions on the differential mutation strategy and on the local structure of the objective function, the proposed dynamical system has fixed points toward which it converges with probability one for an infinite number of generations. This property is used to derive an algorithm that performs better than standard DE on some space trajectory optimization problems. The novel algorithm is then extended with a guided restart procedure that further increases the performance, reducing the probability of stagnation in deceptive local minima.

Connected through hyperedge HE-1 (induced by source paper "a survey on artificial intelligence trends in spacecraft guidance dynamics and control"):
  with members:
    - "machine learning and evolutionary techniques in interplanetary trajectory design"
    - "deep reinforcement learning for six degree of freedom planetary powered descent and landing"
    - "on the stability analysis of deep neural network representations of an optimal state feedback"
    - "multi rendezvous spacecraft trajectory optimization with beam p aco"
    - "real time optimal control via deep neural networks study on landing problems"
    - "deep learning in neural networks"
    - "mga trajectory planning with an aco inspired algorithm"

Connected through hyperedge HE-2 (induced by source paper "approximated computation of belief functions for robust design optimization"):
  with members:
    - "robust mission design through evidence theory and multiagent collaborative search"

Connected through hyperedge HE-3 (induced by source paper "evidence based robust design of deflection actions for near earth objects"):
  with members:
    - "multi agent collaborative search an agent based memetic multi objective optimization algorithm applied to space trajectory design"

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.CE(Computational Engineering, Finance, and Science)