TRIZ-inspired asymmetrical search neighborhood in the bees algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

TRIZ-inspired asymmetrical search neighborhood in the bees algorithm. / Ahmad, Siti Azfanizam; Pham, Duc Truong; Ng, Kok Weng; Ang, Mei Choo.

Proceedings - Sixth Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012. IEEE Xplore, 2012. p. 29-33 6243916.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Ahmad, SA, Pham, DT, Ng, KW & Ang, MC 2012, TRIZ-inspired asymmetrical search neighborhood in the bees algorithm. in Proceedings - Sixth Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012., 6243916, IEEE Xplore, pp. 29-33, 6th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012, Bali, Indonesia, 29/05/12. https://doi.org/10.1109/AMS.2012.30

APA

Ahmad, S. A., Pham, D. T., Ng, K. W., & Ang, M. C. (2012). TRIZ-inspired asymmetrical search neighborhood in the bees algorithm. In Proceedings - Sixth Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012 (pp. 29-33). [6243916] IEEE Xplore. https://doi.org/10.1109/AMS.2012.30

Vancouver

Ahmad SA, Pham DT, Ng KW, Ang MC. TRIZ-inspired asymmetrical search neighborhood in the bees algorithm. In Proceedings - Sixth Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012. IEEE Xplore. 2012. p. 29-33. 6243916 https://doi.org/10.1109/AMS.2012.30

Author

Ahmad, Siti Azfanizam ; Pham, Duc Truong ; Ng, Kok Weng ; Ang, Mei Choo. / TRIZ-inspired asymmetrical search neighborhood in the bees algorithm. Proceedings - Sixth Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012. IEEE Xplore, 2012. pp. 29-33

Bibtex

@inproceedings{42106082e1b447f881c4a6cbb37ad884,
title = "TRIZ-inspired asymmetrical search neighborhood in the bees algorithm",
abstract = "The Bees Algorithm, a heuristic optimization procedure that mimics bees foraging behavior, is becoming more popular among swarm intelligence researchers. The algorithm involves neighborhood and global search and is able to find promising solutions to complex multimodal optimization problems. The purpose of neighborhood search is to intensify the search effort around promising solutions, while global search is to enable avoidance of local optima. Normally, a symmetrical search neighborhood is employed in the Bees Algorithm. As opposed to this practice, a TRIZ-inspired asymmetrical search neighborhood was tried in this work to explore the significance of neighborhood symmetry. The algorithm with an asymmetrical search neighborhood was tested on an engineering design problem. The analysis verified that under certain measurements of asymmetry, the proposed algorithm produced a similar performance as that of the Bees Algorithm.",
keywords = "asymmetrical, search neighborhood, The Bees Algorithm, TRIZ",
author = "Ahmad, {Siti Azfanizam} and Pham, {Duc Truong} and Ng, {Kok Weng} and Ang, {Mei Choo}",
year = "2012",
month = jul,
day = "19",
doi = "10.1109/AMS.2012.30",
language = "English",
isbn = "978-0769547305",
pages = "29--33",
booktitle = "Proceedings - Sixth Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012",
publisher = "IEEE Xplore",
note = "6th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012 ; Conference date: 29-05-2012 Through 31-05-2012",

}

RIS

TY - GEN

T1 - TRIZ-inspired asymmetrical search neighborhood in the bees algorithm

AU - Ahmad, Siti Azfanizam

AU - Pham, Duc Truong

AU - Ng, Kok Weng

AU - Ang, Mei Choo

PY - 2012/7/19

Y1 - 2012/7/19

N2 - The Bees Algorithm, a heuristic optimization procedure that mimics bees foraging behavior, is becoming more popular among swarm intelligence researchers. The algorithm involves neighborhood and global search and is able to find promising solutions to complex multimodal optimization problems. The purpose of neighborhood search is to intensify the search effort around promising solutions, while global search is to enable avoidance of local optima. Normally, a symmetrical search neighborhood is employed in the Bees Algorithm. As opposed to this practice, a TRIZ-inspired asymmetrical search neighborhood was tried in this work to explore the significance of neighborhood symmetry. The algorithm with an asymmetrical search neighborhood was tested on an engineering design problem. The analysis verified that under certain measurements of asymmetry, the proposed algorithm produced a similar performance as that of the Bees Algorithm.

AB - The Bees Algorithm, a heuristic optimization procedure that mimics bees foraging behavior, is becoming more popular among swarm intelligence researchers. The algorithm involves neighborhood and global search and is able to find promising solutions to complex multimodal optimization problems. The purpose of neighborhood search is to intensify the search effort around promising solutions, while global search is to enable avoidance of local optima. Normally, a symmetrical search neighborhood is employed in the Bees Algorithm. As opposed to this practice, a TRIZ-inspired asymmetrical search neighborhood was tried in this work to explore the significance of neighborhood symmetry. The algorithm with an asymmetrical search neighborhood was tested on an engineering design problem. The analysis verified that under certain measurements of asymmetry, the proposed algorithm produced a similar performance as that of the Bees Algorithm.

KW - asymmetrical

KW - search neighborhood

KW - The Bees Algorithm

KW - TRIZ

UR - http://www.scopus.com/inward/record.url?scp=84866528579&partnerID=8YFLogxK

U2 - 10.1109/AMS.2012.30

DO - 10.1109/AMS.2012.30

M3 - Conference contribution

AN - SCOPUS:84866528579

SN - 978-0769547305

SP - 29

EP - 33

BT - Proceedings - Sixth Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012

PB - IEEE Xplore

T2 - 6th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012

Y2 - 29 May 2012 through 31 May 2012

ER -