CJAYA: Cellular JAYA algorithm

Mohammed A. Awadallah; Mohammed Azmi Al-Betar; Iyad Abu Doush

doi:10.1109/ICPET51420.2020.00038

CJAYA: Cellular JAYA algorithm

Mohammed A. Awadallah, Mohammed Azmi Al-Betar, Iyad Abu Doush

Computer Science and Info Systems

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

5 Scopus citations

Abstract

In this paper, the concepts of cellular automata have been utilized in the optimization process of JAYA algorithm for global optimization problems. JAYA algorithm is a recent swarm intelligence algorithm inspired by the survival of the fittest principle. Cellular automata is a successful structured population mechanism used to reorganize the swarm (or population) as a tripodal mesh. Each swarm member can pass the knowledge into his neighboring swarm during the search. Through this process, the diversity of JAYA algorithm is strictly controlled thus the equilibrium state of the convergence rate is spanned. The proposed method is called cellular JAYA algorithm (cJAYA algorithm) which is evaluated using 15 mathematical benchmark functions. Initially, cellular automata concepts are tested. Thereafter, a comparative evaluation of other cellular-based optimization methods is conducted. The results prove the efficacy of the proposed cJAYA algorithm.

Original language	English
Title of host publication	Proceedings - 2020 International Conference on Promising Electronic Technologies, ICPET 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	155-160
Number of pages	6
ISBN (Electronic)	9780738111391
DOIs	https://doi.org/10.1109/ICPET51420.2020.00038
State	Published - Dec 2020
Event	2020 International Conference on Promising Electronic Technologies, ICPET 2020 - Jerusalem, Palestine, State of Duration: 16 Dec 2020 → 17 Dec 2020

Publication series

Name	Proceedings - 2020 International Conference on Promising Electronic Technologies, ICPET 2020

Conference

Conference	2020 International Conference on Promising Electronic Technologies, ICPET 2020
Country/Territory	Palestine, State of
City	Jerusalem
Period	16/12/20 → 17/12/20

Keywords

Cellular automata
Global optimization
JAYA algorithm
Metaheuristics

Access to Document

10.1109/ICPET51420.2020.00038

https://ieeexplore.ieee.org/abstract/document/9319364

Cite this

Awadallah, M. A., Al-Betar, M. A., & Doush, I. A. (2020). CJAYA: Cellular JAYA algorithm. In Proceedings - 2020 International Conference on Promising Electronic Technologies, ICPET 2020 (pp. 155-160). Article 9319364 (Proceedings - 2020 International Conference on Promising Electronic Technologies, ICPET 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPET51420.2020.00038

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title = "CJAYA: Cellular JAYA algorithm",

abstract = "In this paper, the concepts of cellular automata have been utilized in the optimization process of JAYA algorithm for global optimization problems. JAYA algorithm is a recent swarm intelligence algorithm inspired by the survival of the fittest principle. Cellular automata is a successful structured population mechanism used to reorganize the swarm (or population) as a tripodal mesh. Each swarm member can pass the knowledge into his neighboring swarm during the search. Through this process, the diversity of JAYA algorithm is strictly controlled thus the equilibrium state of the convergence rate is spanned. The proposed method is called cellular JAYA algorithm (cJAYA algorithm) which is evaluated using 15 mathematical benchmark functions. Initially, cellular automata concepts are tested. Thereafter, a comparative evaluation of other cellular-based optimization methods is conducted. The results prove the efficacy of the proposed cJAYA algorithm.",

keywords = "Cellular automata, Global optimization, JAYA algorithm, Metaheuristics",

author = "Awadallah, {Mohammed A.} and Al-Betar, {Mohammed Azmi} and Doush, {Iyad Abu}",

note = "Mohammed A. Awadallah, Mohammed Azmi Al-Betar and Iyad Abu Doush (2020). cJAYA: Cellular JAYA algorithm. 2020 International Conference on Promising Electronic Technologies (ICPET 2020). 16-17 Dec. 2020, Jerusalem and Gaza City, Palestine [online] https://ieeexplore.ieee.org/abstract/document/9319364 .; 2020 International Conference on Promising Electronic Technologies, ICPET 2020 ; Conference date: 16-12-2020 Through 17-12-2020",

year = "2020",

month = dec,

doi = "10.1109/ICPET51420.2020.00038",

language = "English",

series = "Proceedings - 2020 International Conference on Promising Electronic Technologies, ICPET 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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address = "United States",

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Awadallah, MA, Al-Betar, MA & Doush, IA 2020, CJAYA: Cellular JAYA algorithm. in Proceedings - 2020 International Conference on Promising Electronic Technologies, ICPET 2020., 9319364, Proceedings - 2020 International Conference on Promising Electronic Technologies, ICPET 2020, Institute of Electrical and Electronics Engineers Inc., pp. 155-160, 2020 International Conference on Promising Electronic Technologies, ICPET 2020, Jerusalem, Palestine, State of, 16/12/20. https://doi.org/10.1109/ICPET51420.2020.00038

CJAYA: Cellular JAYA algorithm. / Awadallah, Mohammed A.; Al-Betar, Mohammed Azmi; Doush, Iyad Abu.
Proceedings - 2020 International Conference on Promising Electronic Technologies, ICPET 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 155-160 9319364 (Proceedings - 2020 International Conference on Promising Electronic Technologies, ICPET 2020).

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

TY - GEN

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T2 - 2020 International Conference on Promising Electronic Technologies, ICPET 2020

AU - Awadallah, Mohammed A.

AU - Al-Betar, Mohammed Azmi

AU - Doush, Iyad Abu

N1 - Mohammed A. Awadallah, Mohammed Azmi Al-Betar and Iyad Abu Doush (2020). cJAYA: Cellular JAYA algorithm. 2020 International Conference on Promising Electronic Technologies (ICPET 2020). 16-17 Dec. 2020, Jerusalem and Gaza City, Palestine [online] https://ieeexplore.ieee.org/abstract/document/9319364 .

PY - 2020/12

Y1 - 2020/12

N2 - In this paper, the concepts of cellular automata have been utilized in the optimization process of JAYA algorithm for global optimization problems. JAYA algorithm is a recent swarm intelligence algorithm inspired by the survival of the fittest principle. Cellular automata is a successful structured population mechanism used to reorganize the swarm (or population) as a tripodal mesh. Each swarm member can pass the knowledge into his neighboring swarm during the search. Through this process, the diversity of JAYA algorithm is strictly controlled thus the equilibrium state of the convergence rate is spanned. The proposed method is called cellular JAYA algorithm (cJAYA algorithm) which is evaluated using 15 mathematical benchmark functions. Initially, cellular automata concepts are tested. Thereafter, a comparative evaluation of other cellular-based optimization methods is conducted. The results prove the efficacy of the proposed cJAYA algorithm.

AB - In this paper, the concepts of cellular automata have been utilized in the optimization process of JAYA algorithm for global optimization problems. JAYA algorithm is a recent swarm intelligence algorithm inspired by the survival of the fittest principle. Cellular automata is a successful structured population mechanism used to reorganize the swarm (or population) as a tripodal mesh. Each swarm member can pass the knowledge into his neighboring swarm during the search. Through this process, the diversity of JAYA algorithm is strictly controlled thus the equilibrium state of the convergence rate is spanned. The proposed method is called cellular JAYA algorithm (cJAYA algorithm) which is evaluated using 15 mathematical benchmark functions. Initially, cellular automata concepts are tested. Thereafter, a comparative evaluation of other cellular-based optimization methods is conducted. The results prove the efficacy of the proposed cJAYA algorithm.

KW - Cellular automata

KW - Global optimization

KW - JAYA algorithm

KW - Metaheuristics

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BT - Proceedings - 2020 International Conference on Promising Electronic Technologies, ICPET 2020

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 16 December 2020 through 17 December 2020

ER -

Awadallah MA, Al-Betar MA, Doush IA. CJAYA: Cellular JAYA algorithm. In Proceedings - 2020 International Conference on Promising Electronic Technologies, ICPET 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 155-160. 9319364. (Proceedings - 2020 International Conference on Promising Electronic Technologies, ICPET 2020). doi: 10.1109/ICPET51420.2020.00038

CJAYA: Cellular JAYA algorithm

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