An Enhanced Social Spider Colony Optimization for Global Optimization

Farouq Zitouni; Saad Harous; Ramdane Maamri

doi:10.1007/978-981-16-3637-0_55

An Enhanced Social Spider Colony Optimization for Global Optimization

Farouq Zitouni, Saad Harous, Ramdane Maamri

Department of Computer Science and Software Engineering

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

Abstract

An improved variant of the social spider optimization algorithm is introduced. It is inspired by the hunting and mating behaviors of spiders in nature. We call it enhanced social spider colony optimization (ESSCO). The performance of ESSCO is evaluated using the benchmark CEC 2020. To validate the proposed algorithm, the obtained statistical results are compared to eleven recent state-of-the-art metaheuristic algorithms. The comparative study shows the competitiveness of ESSCO in finding efficient solutions to the considered test functions.

Original language	English
Title of host publication	Networking, Intelligent Systems and Security - Proceedings of NISS 2021
Editors	Mohamed Ben Ahmed, Horia-Nicolai L. Teodorescu, Tomader Mazri, Parthasarathy Subashini, Anouar Abdelhakim Boudhir
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	775-793
Number of pages	19
ISBN (Print)	9789811636363
DOIs	https://doi.org/10.1007/978-981-16-3637-0_55
Publication status	Published - 2022
Event	4th International Conference on Networking, Intelligent Systems and Security, NISS 2021 - Kenitra, Morocco Duration: Apr 1 2020 → Apr 2 2020

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	237
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	4th International Conference on Networking, Intelligent Systems and Security, NISS 2021
Country/Territory	Morocco
City	Kenitra
Period	4/1/20 → 4/2/20

Keywords

CEC 2020
Global optimization
Metaheuristic algorithms
Social spiders
Swarm intelligence
Test functions

ASJC Scopus subject areas

Decision Sciences(all)
Computer Science(all)

Access to Document

10.1007/978-981-16-3637-0_55

Cite this

Zitouni, F., Harous, S., & Maamri, R. (2022). An Enhanced Social Spider Colony Optimization for Global Optimization. In M. Ben Ahmed, H-N. L. Teodorescu, T. Mazri, P. Subashini, & A. A. Boudhir (Eds.), Networking, Intelligent Systems and Security - Proceedings of NISS 2021 (pp. 775-793). (Smart Innovation, Systems and Technologies; Vol. 237). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-3637-0_55

An Enhanced Social Spider Colony Optimization for Global Optimization. / Zitouni, Farouq; Harous, Saad; Maamri, Ramdane.
Networking, Intelligent Systems and Security - Proceedings of NISS 2021. ed. / Mohamed Ben Ahmed; Horia-Nicolai L. Teodorescu; Tomader Mazri; Parthasarathy Subashini; Anouar Abdelhakim Boudhir. Springer Science and Business Media Deutschland GmbH, 2022. p. 775-793 (Smart Innovation, Systems and Technologies; Vol. 237).

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

Zitouni, F, Harous, S & Maamri, R 2022, An Enhanced Social Spider Colony Optimization for Global Optimization. in M Ben Ahmed, H-NL Teodorescu, T Mazri, P Subashini & AA Boudhir (eds), Networking, Intelligent Systems and Security - Proceedings of NISS 2021. Smart Innovation, Systems and Technologies, vol. 237, Springer Science and Business Media Deutschland GmbH, pp. 775-793, 4th International Conference on Networking, Intelligent Systems and Security, NISS 2021, Kenitra, Morocco, 4/1/20. https://doi.org/10.1007/978-981-16-3637-0_55

Zitouni F, Harous S, Maamri R. An Enhanced Social Spider Colony Optimization for Global Optimization. In Ben Ahmed M, Teodorescu H-NL, Mazri T, Subashini P, Boudhir AA, editors, Networking, Intelligent Systems and Security - Proceedings of NISS 2021. Springer Science and Business Media Deutschland GmbH. 2022. p. 775-793. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-16-3637-0_55

Zitouni, Farouq ; Harous, Saad ; Maamri, Ramdane. / An Enhanced Social Spider Colony Optimization for Global Optimization. Networking, Intelligent Systems and Security - Proceedings of NISS 2021. editor / Mohamed Ben Ahmed ; Horia-Nicolai L. Teodorescu ; Tomader Mazri ; Parthasarathy Subashini ; Anouar Abdelhakim Boudhir. Springer Science and Business Media Deutschland GmbH, 2022. pp. 775-793 (Smart Innovation, Systems and Technologies).

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abstract = "An improved variant of the social spider optimization algorithm is introduced. It is inspired by the hunting and mating behaviors of spiders in nature. We call it enhanced social spider colony optimization (ESSCO). The performance of ESSCO is evaluated using the benchmark CEC 2020. To validate the proposed algorithm, the obtained statistical results are compared to eleven recent state-of-the-art metaheuristic algorithms. The comparative study shows the competitiveness of ESSCO in finding efficient solutions to the considered test functions.",

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An Enhanced Social Spider Colony Optimization for Global Optimization

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Keywords

ASJC Scopus subject areas

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