DocumentCode :
2135644
Title :
An improved differential evolution algorithm based on the Sector Window Floating Zoom Immune Random Search operator
Author :
Shaohua Hu ; Sheng Zhong
Author_Institution :
Nanchang Branch, Jiangxi Radio & TV Univ., Nanchang, China
fYear :
2013
fDate :
23-25 July 2013
Firstpage :
392
Lastpage :
396
Abstract :
In this paper, an improved differential evolution(DE) algorithm is proposed. The Sector Window Floating Zoom Immune Random Search (SWFZIRS) operator has been utilized in the fitness calculation. The position of the individual of best fitness is recorded. During the selecting operation, each individual will move toward the position of best fitness individual if the new individual´s fitness is not as good as the fitness of the individual before crossover. Experiments show that the algorithm can increase the speed of convergence and increase the probability of obtaining the global optimal solution.
Keywords :
artificial immune systems; convergence; evolutionary computation; probability; random processes; tree searching; SWFZIRS operator; convergence; fitness calculation; global optimal solution; improved differential evolution algorithm; probability; sector window floating zoom immune random search; Algorithm design and analysis; Convergence; Educational institutions; Optimization; Sociology; Statistics; Vectors; Differential evolution algorithm; Evolutionary algorithm; SWFZIRS operator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
Type :
conf
DOI :
10.1109/ICNC.2013.6818007
Filename :
6818007
Link To Document :
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