Evolutionary Web Service Composition: A Graph-based Memetic Algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Yan:2016:CEC,

• author = "Longfei Yan and Yi Mei and Hui Ma and Mengjie Zhang",
• title = "Evolutionary Web Service Composition: A Graph-based Memetic Algorithm",
• booktitle = "Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016)",
• year = "2016",
• editor = "Yew-Soon Ong",
• pages = "201--208",
• address = "Vancouver",
• month = "24-29 " # jul,
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-1-5090-0623-6",
• DOI = "doi:10.1109/CEC.2016.7743796",
• abstract = "Web Service Composition (WSC) is a prominent way of actualizing service-oriented architecture by integrating network-accessible Web services into a new invokable application. Evolutionary computation techniques have provided rewarding approaches in automatic Web service composition over the last decade. However, the studies on considering both functionality and non-functionality (i.e. Quality-of-Service, QoS) properties are still limited. In this paper, we propose a novel Graph-Based Memetic Algorithm (GBMA) for solving the QoS-aware WSC problems. GBMA adopts the graph representation proposed by GraphEvol, which is one of the state-of-the-art algorithms. More importantly, GBMA designs and uses a local search based on two newly designed move operators to overcome the drawbacks of the mutation operator in GraphEvol. The experimental results show that the proposed GBMA outperformed GraphEvol, which is the counterpart without local search, in terms of both solution quality and convergence speed. This demonstrates the efficacy and efficiency of combining local search with global search in solving QoS-aware WSC problems.",
• notes = "WCCI2016",

}

Genetic Programming entries for Longfei Felix Yan Yi Mei Hui Ma Mengjie Zhang

Citations