DocumentCode
2135572
Title
A scalability test of Gaussian bare-bones differential evolution on high-dimensional optimization problems
Author
Hui Wang ; Zhengwang Xiao ; Yunhui Zhang ; Xiaowu Liao ; Yiping Ruan ; Jingjiu Fu ; Dazhi Jiang
Author_Institution
Sch. of Inf. Eng., Nanchang Inst. of Technol., Nanchang, China
fYear
2013
fDate
23-25 July 2013
Firstpage
374
Lastpage
378
Abstract
Gaussian bare-bones differential evolution (GBDE) is a new differential evolution (DE) variant, which has shown good search abilities on low-dimensional optimization problems. In this paper, we present a scalability test of GBDE on high-dimensional optimization problems with dimensions 100, 200, 500, and 1000. Experimental results show that GBDE achieves promising results on the majority of test functions.
Keywords
evolutionary computation; optimisation; search problems; GBDE scalability test; Gaussian Bare-Bones differential evolution; high-dimensional optimization problems; low-dimensional optimization problems; search abilities; test functions; Algorithm design and analysis; Benchmark testing; Optimization; Scalability; Sociology; Statistics; Vectors; differential evolution; evolutionary computation; global optimization; high-dimensional;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location
Shenyang
Type
conf
DOI
10.1109/ICNC.2013.6818004
Filename
6818004
Link To Document