DocumentCode
1890789
Title
Integer Encoding Differential Evolution Algorithm for Integer Programming
Author
Deng, Changshou ; Zhao, Bingyan ; Yang, Yanlin ; Deng, Anyuan
Author_Institution
Sch. of Inf. Sci. & Technol., Jiujiang Univ., Jiujiang, China
fYear
2010
fDate
25-26 Dec. 2010
Firstpage
1
Lastpage
4
Abstract
A novel integer encoding Differential Evolution (IEDE) algorithm was proposed for integer optimization problems in this paper. Based on the standard framework of the traditional DE, the population was encoding with integer. The IEDE inherited the crossover operator and selection operator from the traditional DE directly. And a new integer mutation operator was defined to deal with the integer encoding individual. Several initial simulation results show it is effective and efficient in solving the integer optimization problems. The IEDE is a new effective way for the integer optimization problems.
Keywords
encoding; evolutionary computation; integer programming; IEDE; integer encoding differential evolution algorithm; integer mutation operator; integer optimization problems; integer programming; Algorithm design and analysis; Encoding; Linear programming; Optimization; Particle swarm optimization; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location
Wuhan
ISSN
2156-7379
Print_ISBN
978-1-4244-7939-9
Electronic_ISBN
2156-7379
Type
conf
DOI
10.1109/ICIECS.2010.5677899
Filename
5677899
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