A Review on Cutting-Edge Techniques in Evolutionary Algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Yun Bao and Erbo Zhao and Xiaocong Gan and Dan Luo and 
                 Zhangang Han",
  title =        "A Review on Cutting-Edge Techniques in Evolutionary
  booktitle =    "Fifth International Conference on Natural Computation,
                 2009. ICNC '09",
  year =         "2009",
  month =        aug,
  volume =       "5",
  pages =        "347--351",
  keywords =     "genetic algorithms, genetic programming, EA
                 performance improvements, convergence speed,
                 cutting-edge techniques, evolutionary algorithms,
                 nuclear power plant, evolutionary computation",
  DOI =          "doi:10.1109/ICNC.2009.459",
  abstract =     "There are vast amount researches in Evolutionary
                 Algorithms (EA). We need an overview of the current
                 state of EA research every few years. This paper
                 reviews some of the interesting researches at the
                 current state in both theory and application of EA.
                 Works in EA performance improvements are introduced in
                 the sense of balancing between convergence speed and
                 diversity in the population. The combination of EA with
                 other methods is highlighted as a prospective area that
                 may give fertility results. Some smart applications are
                 reviewed in this paper, for example, application in
                 nuclear power plant. The authors point out some
                 research highlights and drawbacks in the conclusion.
                 Future research suggestions are also given.",
  notes =        "Also known as \cite{5364257}",

Genetic Programming entries for Yun Bao Erbo Zhao Xiaocong Gan Dan Luo Zhangang Han