A Review on Cutting-Edge Techniques in Evolutionary Algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Bao:2009:ICNC,

• author = "Yun Bao and Erbo Zhao and Xiaocong Gan and Dan Luo and Zhangang Han",
• title = "A Review on Cutting-Edge Techniques in Evolutionary Algorithms",
• 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

Citations