A Review on Cutting-Edge Techniques in Evolutionary Algorithms
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- @InProceedings{Bao:2009:ICNC,
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author = "Yun Bao and Erbo Zhao and Xiaocong Gan and Dan Luo and
Zhangang Han",
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title = "A Review on Cutting-Edge Techniques in Evolutionary
Algorithms",
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booktitle = "Fifth International Conference on Natural Computation,
2009. ICNC '09",
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year = "2009",
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month = aug,
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volume = "5",
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pages = "347--351",
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keywords = "genetic algorithms, genetic programming, EA
performance improvements, convergence speed,
cutting-edge techniques, evolutionary algorithms,
nuclear power plant, evolutionary computation",
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DOI = "doi:10.1109/ICNC.2009.459",
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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.",
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notes = "Also known as \cite{5364257}",
- }
Genetic Programming entries for
Yun Bao
Erbo Zhao
Xiaocong Gan
Dan Luo
Zhangang Han
Citations