Revisiting the distribution index in simulated binary crossover operator for evolutionary multiobjective optimisation algorithms

Mohammad M. Hamdan

doi:10.1109/DICTAP.2014.6821653

Revisiting the distribution index in simulated binary crossover operator for evolutionary multiobjective optimisation algorithms

Mohammad M. Hamdan^*

^*Corresponding author for this work

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

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.

Original language	English
Title of host publication	2014 Fourth International Conference on Digital Information and Communication Technology and its Applications (DICTAP)
Publisher	IEEE
Pages	37-41
Number of pages	5
ISBN (Electronic)	9781479937240
DOIs	https://doi.org/10.1109/DICTAP.2014.6821653
Publication status	Published - 29 May 2014
Event	4th International Conference on Digital Information and Communication Technology and Its Applications 2014 - Bangkok, Thailand Duration: 6 May 2014 → 8 May 2014

Conference

Conference	4th International Conference on Digital Information and Communication Technology and Its Applications 2014
Abbreviated title	DICTAP 2014
Country/Territory	Thailand
City	Bangkok
Period	6/05/14 → 8/05/14

ASJC Scopus subject areas

Computer Science Applications
Information Systems

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10.1109/DICTAP.2014.6821653

Cite this

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title = "Revisiting the distribution index in simulated binary crossover operator for evolutionary multiobjective optimisation algorithms",

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.",

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Hamdan, MM 2014, Revisiting the distribution index in simulated binary crossover operator for evolutionary multiobjective optimisation algorithms. in 2014 Fourth International Conference on Digital Information and Communication Technology and its Applications (DICTAP). IEEE, pp. 37-41, 4th International Conference on Digital Information and Communication Technology and Its Applications 2014, Bangkok, Thailand, 6/05/14. https://doi.org/10.1109/DICTAP.2014.6821653

Revisiting the distribution index in simulated binary crossover operator for evolutionary multiobjective optimisation algorithms. / Hamdan, Mohammad M.
2014 Fourth International Conference on Digital Information and Communication Technology and its Applications (DICTAP). IEEE, 2014. p. 37-41.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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BT - 2014 Fourth International Conference on Digital Information and Communication Technology and its Applications (DICTAP)

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Revisiting the distribution index in simulated binary crossover operator for evolutionary multiobjective optimisation algorithms

Abstract

Conference

ASJC Scopus subject areas

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