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Cendrawasih Bird Optimization Algorithm: A nature-inspired metaheuristic

Indonesian Journal of Electical Engineering and Informatics (IJEEI) · Vol. 14 No. 2 (2026) · hlm. 363–375

DOI
10.52549/ijeei.v14i2.7419
ISSN
2089-3272, 2089-3272
Terbit
2026-04-15
Penerbit
IAES Indonesian Section
Bahasa
en

Abstrak

This study proposes a new metaheuristic algorithm named Cendrawasih Bird Optimization Algorithm (COA), inspired by the natural behavior of Cendrawasih birds—an endemic species of Indonesia. COA mimics the main behavior of the birds, namely exploration and exploitation, to create a balance between global exploration and local exploitation capabilities in solving various optimization problems. This algorithm is mathematically modeled and evaluated using 23 benchmark functions from CEC 2017, and its performance is compared against eight state-of-the-art metaheuristic algorithms. The results of numerical experiments, convergence analysis, and statistical tests show that COA has competitive performance, especially in terms of stability and consistency on unimodal and multimodal functions. Overall, COA is proven to be a reliable, robust, and efficient optimization tool with broad application potential in various engineering and scientific fields.

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  • Universitas Negeri Surabaya
  • Chouaib Doukkali University
  • Institut Teknologi Sepuluh Nopember
  • Dayananda Sagar College of Engineering
  • Université Hassan 1er
  • Al al-Bayt University
  • Universidad de Guadalajara
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Rekan penulisOrganisasiArtikel bersama
Bambang SupriantoUniversitas Negeri Surabaya7
Ayusta Lukita WardaniUniversitas Negeri Surabaya5
Toufik MziliChouaib Doukkali University5
Aditya PrapancaUniversitas Negeri Surabaya4
Reza RahmadianUniversitas Negeri Surabaya4
Mahendra WidyartonoUniversitas Negeri Surabaya4
Hisham A. ShehadehAl-Balqa Applied University4
Unit Three KartiniUniversitas Negeri Surabaya2
Heri SuryoatmojoInstitut Teknologi Sepuluh Nopember2
Feby Agung PamujiInstitut Teknologi Sepuluh Nopember2
M. PremkumarGMR Institute of Technology2
Suraj RaviDayananda Sagar College of Engineering2
Joko JokoUniversitas Negeri Surabaya2
Aditya Chandra HermawanUniversitas Negeri Surabaya2
Nur Vidia Laksmi B.Universitas Negeri Surabaya1
Muhammad Syahril MubarokUniversitas Airlangga1
Moh. Zaenal EffendiAfiliasi tidak diketahui1
Tian‐Hua LiuNational Taiwan University of Science and Technology1
Ahmed AbatalUniversité Hassan 1er1
Mourad MziliChouaib Doukkali University1
Zakaria BenlaliaChouaib Doukkali University1
Hajar KhalloukiUniversité Hassan 1er1
Mohammed El Kaim BillahChouaib Doukkali University1
Mutasem K. AlsmadiImam Abdulrahman Bin Faisal University1
Ghaith M. JaradatAmman Arab University1
Mohamad I. Al‐WidyanJordan University of Science and Technology1
Supari MuslimUniversitas Negeri Surabaya1
G. Saikiran ReddyDayananda Sagar College of Engineering1
Supari SupariUniversitas Negeri Surabaya1
Wiyli YustantiUniversitas Negeri Surabaya1
Farid BaskoroUniversitas Negeri Surabaya1
Yuni YamasariUniversitas Negeri Surabaya1
Miftahur RohmanUniversitas Negeri Surabaya1
Rina HarimurtiUniversitas Negeri Surabaya1
Dimas Ahmad Nur Kholis SuhermantoUniversitas Negeri Surabaya1

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Sumber metadata: OAI-PMH (metadata jurnal) http://section.iaesonline.com/index.php/IJEEI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Cendrawasih Bird Optimization Algorithm : A nature-inspired metaheuristic</dc:title>
	<dc:creator xml:lang="en">Aribowo, Widi</dc:creator>
	<dc:creator xml:lang="en">Abualigah, Laith</dc:creator>
	<dc:creator xml:lang="en">Oliva, Diego</dc:creator>
	<dc:creator xml:lang="en">Aljohani, Abeer</dc:creator>
	<dc:creator xml:lang="en">Sabo, Aliyu</dc:creator>
	<dc:subject xml:lang="en">Cendrawasih Bird</dc:subject>
	<dc:subject xml:lang="en">Optimization Algorithm</dc:subject>
	<dc:subject xml:lang="en">Metaheuristic</dc:subject>
	<dc:subject xml:lang="en">Swarm intelligence</dc:subject>
	<dc:subject xml:lang="en">Global optimization</dc:subject>
	<dc:description xml:lang="en">This study proposes a new metaheuristic algorithm named Cendrawasih Bird Optimization Algorithm (COA), inspired by the natural behavior of Cendrawasih birds—an endemic species of Indonesia. COA mimics the main behavior of the birds, namely exploration and exploitation, to create a balance between global exploration and local exploitation capabilities in solving various optimization problems. This algorithm is mathematically modeled and evaluated using 23 benchmark functions from CEC 2017, and its performance is compared against eight state-of-the-art metaheuristic algorithms. The results of numerical experiments, convergence analysis, and statistical tests show that COA has competitive performance, especially in terms of stability and consistency on unimodal and multimodal functions. Overall, COA is proven to be a reliable, robust, and efficient optimization tool with broad application potential in various engineering and scientific fields.</dc:description>
	<dc:publisher xml:lang="en">IAES Indonesian Section</dc:publisher>
	<dc:date>2026-04-15</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://section.iaesonline.com/index.php/IJEEI/article/view/7419</dc:identifier>
	<dc:identifier>10.52549/ijeei.v14i2.7419</dc:identifier>
	<dc:source xml:lang="en">Indonesian Journal of Electrical Engineering and Informatics (IJEEI); Vol. 14 No. 2: June 2026; 363-375</dc:source>
	<dc:source>2089-3272</dc:source>
	<dc:source>2089-3272</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://section.iaesonline.com/index.php/IJEEI/article/view/7419/1077</dc:relation>
</oai_dc:dc>