Title :
Comparison between hierarchical distributed evolutionary algorithms and general distributed evolutionary algorithms
Author_Institution :
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
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;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885405