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
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;
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
DOI :
10.1109/DICTAP.2014.6821653
