{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T07:04:33Z","timestamp":1777705473684,"version":"3.51.4"},"reference-count":26,"publisher":"SAGE Publications","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2024,2,14]]},"abstract":"<jats:p>The Aquila optimization (AO) algorithm has the drawbacks of local optimization and poor optimization accuracy when confronted with complex optimization problems. To remedy these drawbacks, this paper proposes an Enhanced aquila optimization (EAO) algorithm. To avoid elite individual from entering the local optima, the elite opposition-based learning strategy is added. To enhance the ability of balancing global exploration and local exploitation, a dynamic boundary strategy is introduced. To elevate the algorithm\u2019s convergence rapidity and precision, an elite retention mechanism is introduced. The effectiveness of EAO is evaluated using CEC2005 benchmark functions and four benchmark images. The experimental results confirm EAO\u2019s viability and efficacy. The statistical results of Freidman test and the Wilcoxon rank sum test are confirmed EAO\u2019s robustness. The proposed EAO algorithm outperforms previous algorithms and can useful for threshold optimization and pressure vessel design.<\/jats:p>","DOI":"10.3233\/jifs-236804","type":"journal-article","created":{"date-parts":[[2024,2,9]],"date-time":"2024-02-09T10:35:27Z","timestamp":1707474927000},"page":"4361-4380","source":"Crossref","is-referenced-by-count":0,"title":["EAO: Enhanced aquila optimizer for solving optimization problem"],"prefix":"10.1177","volume":"46","author":[{"given":"Hairu","family":"Guo","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin\u2019ge","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongli","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yudong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China"},{"name":"Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-236804_ref5","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1016\/j.asoc.2014.07.024","article-title":"Feature selection based on improved ant colony optimization for online detection of foreign fiber in cotton","volume":"24","author":"Zhao","year":"2014","journal-title":"Applied Soft Computing"},{"key":"10.3233\/JIFS-236804_ref6","doi-asserted-by":"crossref","first-page":"39269","DOI":"10.1109\/ACCESS.2023.3266991","article-title":"Adaptive Chaotic Marine Predators Hill Climbing Algorithm for Large-Scale Design Optimizations","volume":"11","author":"Dehkordi","year":"2023","journal-title":"Ieee Access"},{"key":"10.3233\/JIFS-236804_ref8","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.matcom.2022.11.020","article-title":"Local search enhanced Aquila optimization algorithm ameliorated with an ensemble of Wavelet mutation strategies for complex optimization problems","volume":"206","author":"Turgut","year":"2023","journal-title":"Mathematics and Computers in Simulation"},{"key":"10.3233\/JIFS-236804_ref10","doi-asserted-by":"crossref","first-page":"582","DOI":"10.1016\/j.isatra.2023.03.022","article-title":"Intelligent fault detection scheme for constant-speed wind turbines based on improved multiscale fuzzy entropy and adaptive chaotic Aquila optimization-based support vector machine","volume":"138","author":"Wang","year":"2023","journal-title":"Isa Transactions"},{"key":"10.3233\/JIFS-236804_ref12","doi-asserted-by":"crossref","first-page":"4237","DOI":"10.1007\/s10462-020-09952-0","article-title":"Metaheuristics: a comprehensive overview and classification along with bibliometric analysis","volume":"54","author":"Ezugwu","year":"2021","journal-title":"Artif. 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