Exploration and Exploitation Measurement in Swarm-Based Metaheuristic Algorithms: An Empirical Analysis

Mohd Najib Mohd Salleh; Kashif Hussain; Shi Cheng; Yuhui Shi; Arshad Muhammad; Ghufran Ullah; Rashid Naseem

doi:10.1007/978-3-319-72550-5_3

Exploration and Exploitation Measurement in Swarm-Based Metaheuristic Algorithms: An Empirical Analysis

Mohd Najib Mohd Salleh, Kashif Hussain, Shi Cheng, Yuhui Shi, Arshad Muhammad, Ghufran Ullah, Rashid Naseem

Science and Engineering

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

Abstract

Swarm-based metaheuristics, inspired from intelligent social behaviors in nature, have achieved wider acceptance among researchers as compared to other population-based methods. The success of any swarm-based algorithm highly depends upon the mechanism of social interaction which maintains the balance between exploration and exploitation. This research examines these two significant cornerstones of top five swarm-based metaheuristics using diversity measurement. The results show that ACO and FA maintained balance between exploration and exploitation throughout iterations thus achieved better results as compared to counterparts taken in this study.

Original language	English
Title of host publication	Recent Advances on Soft Computing and Data Mining
Subtitle of host publication	Proceedings of the Third International Conference on Soft Computing and Data Mining (SCDM 2018), Johor, Malaysia, February 06-07, 2018
Editors	Rozaida Ghazali, Mustafa Mat Deris, Nazri Mohd Nawi, Jemal H. Abawajy
Publisher	Springer
Pages	24-32
Number of pages	9
Volume	700
ISBN (Electronic)	978-3-319-72550-5
ISBN (Print)	978-3-319-72549-9
DOIs	https://doi.org/10.1007/978-3-319-72550-5_3
Publication status	Published - 12 Jan 2018

Publication series

Name	Advances in Intelligent Systems and Computing

Access to Document

10.1007/978-3-319-72550-5_3

Cite this

Salleh, M. N. M., Hussain, K., Cheng, S., Shi, Y., Muhammad, A., Ullah, G., & Naseem, R. (2018). Exploration and Exploitation Measurement in Swarm-Based Metaheuristic Algorithms: An Empirical Analysis. In R. Ghazali, M. M. Deris, N. M. Nawi, & J. H. Abawajy (Eds.), Recent Advances on Soft Computing and Data Mining: Proceedings of the Third International Conference on Soft Computing and Data Mining (SCDM 2018), Johor, Malaysia, February 06-07, 2018 (Vol. 700, pp. 24-32). (Advances in Intelligent Systems and Computing). Springer. https://doi.org/10.1007/978-3-319-72550-5_3

Salleh, Mohd Najib Mohd ; Hussain, Kashif ; Cheng, Shi et al. / Exploration and Exploitation Measurement in Swarm-Based Metaheuristic Algorithms: An Empirical Analysis. Recent Advances on Soft Computing and Data Mining: Proceedings of the Third International Conference on Soft Computing and Data Mining (SCDM 2018), Johor, Malaysia, February 06-07, 2018. editor / Rozaida Ghazali ; Mustafa Mat Deris ; Nazri Mohd Nawi ; Jemal H. Abawajy. Vol. 700 Springer, 2018. pp. 24-32 (Advances in Intelligent Systems and Computing).

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title = "Exploration and Exploitation Measurement in Swarm-Based Metaheuristic Algorithms: An Empirical Analysis",

abstract = "Swarm-based metaheuristics, inspired from intelligent social behaviors in nature, have achieved wider acceptance among researchers as compared to other population-based methods. The success of any swarm-based algorithm highly depends upon the mechanism of social interaction which maintains the balance between exploration and exploitation. This research examines these two significant cornerstones of top five swarm-based metaheuristics using diversity measurement. The results show that ACO and FA maintained balance between exploration and exploitation throughout iterations thus achieved better results as compared to counterparts taken in this study.",

author = "Salleh, {Mohd Najib Mohd} and Kashif Hussain and Shi Cheng and Yuhui Shi and Arshad Muhammad and Ghufran Ullah and Rashid Naseem",

year = "2018",

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volume = "700",

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Salleh, MNM, Hussain, K, Cheng, S, Shi, Y, Muhammad, A, Ullah, G & Naseem, R 2018, Exploration and Exploitation Measurement in Swarm-Based Metaheuristic Algorithms: An Empirical Analysis. in R Ghazali, MM Deris, NM Nawi & JH Abawajy (eds), Recent Advances on Soft Computing and Data Mining: Proceedings of the Third International Conference on Soft Computing and Data Mining (SCDM 2018), Johor, Malaysia, February 06-07, 2018. vol. 700, Advances in Intelligent Systems and Computing, Springer, pp. 24-32. https://doi.org/10.1007/978-3-319-72550-5_3

Exploration and Exploitation Measurement in Swarm-Based Metaheuristic Algorithms: An Empirical Analysis. / Salleh, Mohd Najib Mohd; Hussain, Kashif; Cheng, Shi et al.
Recent Advances on Soft Computing and Data Mining: Proceedings of the Third International Conference on Soft Computing and Data Mining (SCDM 2018), Johor, Malaysia, February 06-07, 2018. ed. / Rozaida Ghazali; Mustafa Mat Deris; Nazri Mohd Nawi; Jemal H. Abawajy. Vol. 700 Springer, 2018. p. 24-32 (Advances in Intelligent Systems and Computing).

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

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AU - Ullah, Ghufran

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Salleh MNM, Hussain K, Cheng S, Shi Y, Muhammad A, Ullah G et al. Exploration and Exploitation Measurement in Swarm-Based Metaheuristic Algorithms: An Empirical Analysis. In Ghazali R, Deris MM, Nawi NM, Abawajy JH, editors, Recent Advances on Soft Computing and Data Mining: Proceedings of the Third International Conference on Soft Computing and Data Mining (SCDM 2018), Johor, Malaysia, February 06-07, 2018. Vol. 700. Springer. 2018. p. 24-32. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-72550-5_3