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