human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "Scheduling multiprocessor tasks with genetic algorithms"
  Abstract: In the multiprocessor scheduling problem, a given program is to be scheduled in a given multiprocessor system such that the program's execution time is minimized. This problem being very hard to solve exactly, many heuristic methods for finding a suboptimal schedule exist. We propose a new combined approach, where a genetic algorithm is improved with the introduction of some knowledge about the scheduling problem represented by the use of a list heuristic in the crossover and mutation genetic operations. This knowledge-augmented genetic approach is empirically compared with a "pure" genetic algorithm and with a "pure" list heuristic, both from the literature. Results of the experiments carried out with synthetic instances of the scheduling problem show that our knowledge-augmented algorithm produces much better results in terms of quality of solutions, although being slower in terms of execution time.

Connected through hyperedge HE-1 (induced by source paper "Pipelined data parallel algorithms-II: design"):
  with members:
    - "Pipelined data parallel algorithms-I: concept and modeling"
    - "Code Generation Methods for Tiling Transformations ."

Connected through hyperedge HE-2 (induced by source paper "Deterministic Schedule of Task in Multiprocessor Computer Systems with Higher Degree of Dependability"):
  with members:
    (none)

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science