An evolutionary programming algorithm for continuous global optimization

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@Article{YaowenYang:2005:EJOR,
  author =       "Yaowen Yang and Jianfeng Xu and Chee Kiong Soh",
  title =        "An evolutionary programming algorithm for continuous
                 global optimization",
  journal =      "European Journal of Operational Research",
  year =         "2006",
  volume =       "168",
  pages =        "354--369",
  email =        "cywyang@ntu.edu.sg",
  URL =          "http://www.elsevier.com/locate/ejor",
  number =       "2",
  month =        "16 " # jan,
  note =         "Feature Cluster on Mathematical Finance and Risk
                 Management",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 computations, Evolutionary programming, Global
                 optimisation, Simulated annealing",
  DOI =          "doi:10.1016/j.ejor.2004.05.007",
  abstract =     "Evolutionary computations are very effective at
                 performing global search (in probability), however, the
                 speed of convergence could be slow. This paper presents
                 an evolutionary programming algorithm combined with
                 macro-mutation (MM), local linear bisection search
                 (LBS) and crossover operators for global optimisation.
                 The MM operator is designed to explore the whole search
                 space and the LBS operator to exploit the neighbourhood
                 of the solution. Simulated annealing is adopted to
                 prevent premature convergence. The performance of the
                 proposed algorithm is assessed by numerical experiments
                 on 12 benchmark problems. Combined with MM, the
                 effectiveness of various local search operators is also
                 studied.",
  notes =        "School of Civil and Environmental Engineering, Nanyang
                 Technological University, 50 Nanyang Avenue, Singapore
                 639798, Singapore

                 Science direct gives authors as Yao Wen Yang, Jian Feng
                 Xu, Chee Kiong Soh.",
}

Genetic Programming entries for Yaowen Yang Jianfeng Xu Chee Kiong Soh

Citations