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Improving the non-dominate sorting genetic algorithm for multi-objective optimization

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

Standard Standard

Improving the non-dominate sorting genetic algorithm for multi-objective optimization. / Seydi, Vahid; Khanehsar, M Ahmadieh; Teshnehlab, M.
2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007). 2007. p. 89-92.

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

HarvardHarvard

Seydi, V, Khanehsar, MA & Teshnehlab, M 2007, Improving the non-dominate sorting genetic algorithm for multi-objective optimization. in 2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007). pp. 89-92.

APA

Seydi, V., Khanehsar, M. A., & Teshnehlab, M. (2007). Improving the non-dominate sorting genetic algorithm for multi-objective optimization. In 2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007) (pp. 89-92)

CBE

Seydi V, Khanehsar MA, Teshnehlab M. 2007. Improving the non-dominate sorting genetic algorithm for multi-objective optimization. In 2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007). pp. 89-92.

MLA

Seydi, Vahid, M Ahmadieh Khanehsar and M Teshnehlab "Improving the non-dominate sorting genetic algorithm for multi-objective optimization". 2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007). 2007, 89-92.

VancouverVancouver

Seydi V, Khanehsar MA, Teshnehlab M. Improving the non-dominate sorting genetic algorithm for multi-objective optimization. In 2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007). 2007. p. 89-92

Author

Seydi, Vahid ; Khanehsar, M Ahmadieh ; Teshnehlab, M. / Improving the non-dominate sorting genetic algorithm for multi-objective optimization. 2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007). 2007. pp. 89-92

RIS

TY - GEN

T1 - Improving the non-dominate sorting genetic algorithm for multi-objective optimization

AU - Seydi, Vahid

AU - Khanehsar, M Ahmadieh

AU - Teshnehlab, M

PY - 2007

Y1 - 2007

N2 - The non-dominate sorting genetic algorithmic-II (NSGA-II) is a relatively recent technique for finding or approximating the Pareto-optimal set for multi-objective optimization problems. In different studies NSGA-II has shown good performance in comparison to other multi-objective evolutionary algorithms (Deb et al., 2002). In this paper an improved version which is named Niching-NSGA-II (n-NSGA-II) is proposed. This algorithm uses new method after non-dominate sorting procedure for keeping diversity. The comparison of n-NSGA-II with NSGA-II and other methods on ZDT test problems yields promising results.

AB - The non-dominate sorting genetic algorithmic-II (NSGA-II) is a relatively recent technique for finding or approximating the Pareto-optimal set for multi-objective optimization problems. In different studies NSGA-II has shown good performance in comparison to other multi-objective evolutionary algorithms (Deb et al., 2002). In this paper an improved version which is named Niching-NSGA-II (n-NSGA-II) is proposed. This algorithm uses new method after non-dominate sorting procedure for keeping diversity. The comparison of n-NSGA-II with NSGA-II and other methods on ZDT test problems yields promising results.

M3 - Conference contribution

SP - 89

EP - 92

BT - 2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007)

ER -