DocumentCode :
507966
Title :
A Review on Cutting-Edge Techniques in Evolutionary Algorithms
Author :
Bao, Yun ; Zhao, Erbo ; Gan, Xiaocong ; Luo, Dan ; Han, Zhangang
Author_Institution :
Dept. of Syst. Sci., Beijing Normal Univ., Beijing, China
Volume :
5
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
347
Lastpage :
351
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.
Keywords :
evolutionary computation; EA performance improvements; convergence speed; cutting-edge techniques; evolutionary algorithms; nuclear power plant; Artificial intelligence; Biomedical imaging; Evolution (biology); Evolutionary computation; Genetic algorithms; Genetic programming; Image sequence analysis; Medical diagnostic imaging; Particle swarm optimization; Signal processing algorithms; evolutionary algorithms; genetic algorithms; genetic programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
Type :
conf
DOI :
10.1109/ICNC.2009.459
Filename :
5364257
Link To Document :
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