DocumentCode
144780
Title
Revisiting the distribution index in simulated binary crossover operator for evolutionary multiobjective optimisation algorithms
Author
Hamdan, Mohammad M.
Author_Institution
Dept. of Comput. Sci., Yarmouk Univ., Irbid, Jordan
fYear
2014
fDate
6-8 May 2014
Firstpage
37
Lastpage
41
Abstract
The simulated binary crossover operator is an important variation operator in evolutionary algorithms. The experimental results reported in this work are a detailed study for the distribution index parameter of this operator. The results are for NSGAII algorithm. The results are interesting regarding three metrics: hypervolume, inverted generational distance and spread.
Keywords
genetic algorithms; mathematical operators; NSGAII algorithm; distribution index parameter; evolutionary multiobjective optimisation algorithms; hypervolume metrics; inverted generational distance metrics; simulated binary crossover operator; spread metrics; variation operator; Computer science; Educational institutions; Evolutionary computation; Genetic algorithms; Indexes; Measurement; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Information and Communication Technology and it's Applications (DICTAP), 2014 Fourth International Conference on
Conference_Location
Bangkok
Print_ISBN
978-1-4799-3723-3
Type
conf
DOI
10.1109/DICTAP.2014.6821653
Filename
6821653
Link To Document