DocumentCode
3027072
Title
Comparison between hierarchical distributed evolutionary algorithms and general distributed evolutionary algorithms
Author
Zukai Tang
Author_Institution
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
fYear
2013
fDate
20-22 Dec. 2013
Firstpage
2158
Lastpage
2161
Abstract
As a special type of distributed evolutionary algorithms (DEAs), hierarchal distributed evolutionary algorithms (HDEAs) have been proposed for years. However, the number of their applications is very limited while simple DEAs are widely used in many field. In this paper, the advantage of HDEAs over simple DEAs is analyzed. Then a comparison experiment between a HDEA and a simple DEA is carried on. Both algorithms are based on the same EA and have the same settings. The results show that the former is significantly better in solutions. Then, the advantage of HDEAs is demonstrated.
Keywords
distributed algorithms; evolutionary computation; HDEAs; general distributed evolutionary algorithms; hierarchical distributed evolutionary algorithms; Convergence; Educational institutions; Evolutionary computation; Genetic algorithms; Optimization; Standards; Topology; Hierarchical Distributed Evolutionary algorithms; convergence; interval; migration;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location
Shengyang
Print_ISBN
978-1-4799-2564-3
Type
conf
DOI
10.1109/MEC.2013.6885405
Filename
6885405
Link To Document