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MPA is a recent and well-behaved optimizer with a unique memory saving and fish aggregating devices mechanism. At the same time, it suffers from various defects such as inadequate global search, sluggish convergence, and stagnation of local optima. However, AO has contented robust global exploration capability, fast convergence speed, and high search efficiency. Thus, the proposed EHAOMPA aims to complement the shortcomings of AO and MPA while bringing new features. Specifically, the representative-based hunting technique is incorporated into the exploration stage to enhance population diversity. At the same time, random opposition-based learning is introduced into the exploitation stage to prevent the optimizer from sticking to local optima. This study tests the performance of EHAOMPA\u2019s on 23 standard mathematical benchmark functions, 29 complex test functions from the CEC2017 test suite, six constrained industrial engineering design problems, and a convolutional neural network hyperparameter (CNN-hyperparameter) optimization for Corona Virus Disease 19 (COVID-19) computed tomography-image detection problem. EHAOMPA is compared with four existing optimization algorithm types, achieving the best performance on both numerical and practical issues. Compared with other methods, the test function results demonstrate that EHAOMPA exhibits a more potent global search capability, a higher convergence rate, increased accuracy, and an improved ability to avoid local optima. The excellent experimental results in practical problems indicate that the developed EHAOMPA has great potential in solving real-world optimization problems. The combination of multiple strategies can effectively improve the performance of the algorithm. The source code of the EHAOMPA is publicly available at https:\/\/github.com\/WangShuang92\/EHAOMPA.<\/jats:p>","DOI":"10.1093\/jcde\/qwae004","type":"journal-article","created":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T04:57:49Z","timestamp":1705467469000},"page":"37-69","source":"Crossref","is-referenced-by-count":9,"title":["Boosting aquila optimizer by marine predators algorithm for combinatorial optimization"],"prefix":"10.1093","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5933-074X","authenticated-orcid":false,"given":"Shuang","family":"Wang","sequence":"first","affiliation":[{"name":"New Engineering Industry College, Putian University , Putian 351100, Fujian , China"},{"name":"Engineering Research Center of Big Data Application in Private Health Medicine, Fujian Province University , Putian 351100, Fujian , China"},{"name":"College of Information Engineering, Sanming University , Sanming 365004, Fujian , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heming","family":"Jia","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Sanming University , Sanming 365004, Fujian , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5394-0678","authenticated-orcid":false,"given":"Abdelazim G","family":"Hussien","sequence":"additional","affiliation":[{"name":"Faculty of Science, Fayoum University , Fayoum 63514 , Egypt"},{"name":"Department of Computer and Information Science, Link\u00f6ping University , SE-58183 Link\u00f6ping , Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laith","family":"Abualigah","sequence":"additional","affiliation":[{"name":"Artificial Intelligence and Sensing Technologies (AIST) Research Center, University of Tabuk , Tabuk 71491 , Saudi\u00a0Arabia"},{"name":"Department of Electrical and Computer Engineering, Lebanese American University , Byblos 13-5053 , Lebanon"},{"name":"Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University , Amman 19328 , Jordan"},{"name":"MEU Research Unit, Middle East University , Amman 11831 , Jordan"},{"name":"College of Engineering, Yuan Ze University , Taoyuan 32003 , Taiwan"},{"name":"Applied science research center, Applied science private university , Amman 11931 , Jordan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanjun","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Sanming University , Sanming 365004, Fujian , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongwei","family":"Wei","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Sanming University , Sanming 365004, Fujian , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenheng","family":"Lin","sequence":"additional","affiliation":[{"name":"New Engineering 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