F-MOGP: A Novel Many-Objective Evolutionary Approach to QoS-Aware Data Intensive Web Service Composition

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@InProceedings{Yu:2015:CEC,
  author =       "Yang Yu and Hui Ma and Mengjie Zhang",
  title =        "{F-MOGP}: A Novel Many-Objective Evolutionary Approach
                 to {QoS}-Aware Data Intensive Web Service Composition",
  booktitle =    "Proceedings of 2015 IEEE Congress on Evolutionary
                 Computation (CEC 2015)",
  year =         "2015",
  editor =       "Yadahiko Murata",
  pages =        "2843--2850",
  address =      "Sendai, Japan",
  month =        "25-28 " # may,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/CEC.2015.7257242",
  abstract =     "QoS-aware web service composition has attracted
                 increasing attention recently. Meanwhile, due to the
                 explosion in the volume of data, providing efficient
                 methods for composing data intensive services poses new
                 challenges to the service composition problem. In this
                 paper, a new search and optimisation approach based on
                 a reduced space searching strategy, named F-MOGP, is
                 presented to address the problem of QoS-aware data
                 intensive service composition driven by four
                 conflicting quality objectives. The experimental
                 results show that the proposed approach is
                 computationally efficient by search space reduction.
                 Compared with the existing single-objective and
                 multi-objective optimization methods, a set of
                 higher-quality data intensive service compositions can
                 be successfully generated to support decision makers by
                 providing them with potential trade-offs among
                 different objectives.",
  notes =        "1030 hrs 15578 CEC2015",
}

Genetic Programming entries for Yang Yu Hui Ma Mengjie Zhang

Citations