{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T02:32:40Z","timestamp":1769567560920,"version":"3.49.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686448","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T00:00:00Z","timestamp":1769472000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,27]]},"abstract":"<jats:p>Since 2019, the Harris Hawks Optimization algorithm has become a robust metaheuristic for complex optimization, valued for fast convergence and adaptability. This review synthesizes advances in HHO research, covering theory, variants, and applications. It first outlines HHO\u2019s core mechanism\u2014dynamic switching between exploration and exploitation\u2014to balance global search and local refinement. Four key enhancement strategies are analyzed: chaotic initialization for diversity, binary adaptations for discrete problems, multi-strategy integrations to avoid stagnation, and hybridizations with other algorithms. HHO\u2019s impacts across six domains\u2014neural network tuning, engineering design, feature selection, medical diagnostics, energy scheduling, and network security\u2014are highlighted. While HHO offers high solution quality and robustness, challenges like premature convergence and parameter sensitivity remain. Proposed solutions include adaptive parameter control and gradient-informed strategies. Emerging frontiers, such as quantum-inspired variants and dynamic multi-objective adaptations, are outlined to guide future research. This survey consolidates HHO advancements and provides guidelines for tailoring the algorithm to evolving computational needs.<\/jats:p>","DOI":"10.3233\/faia251667","type":"book-chapter","created":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T13:19:18Z","timestamp":1769519958000},"source":"Crossref","is-referenced-by-count":0,"title":["A Survey on Harris Hawks Optimization Algorithm: Variant and Application"],"prefix":"10.3233","author":[{"given":"Qianli","family":"Ma","sequence":"first","affiliation":[{"name":"School of Vehicle and Energy, Yanshan University, Qinhuangdao, China"}]},{"given":"Haohan","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Vehicle and Energy, Yanshan University, Qinhuangdao, China"}]},{"given":"Nan","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Basic, Heibei University of Environmental Engineering, Qinhuangdao, China"}]},{"given":"Weibiao","family":"Qiao","sequence":"additional","affiliation":[{"name":"School of Vehicle and Energy, Yanshan University, Qinhuangdao, China"}]},{"given":"Xinjun","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Vehicle and Energy, Yanshan University, Qinhuangdao, China"}]},{"given":"Yuqin","family":"Wang","sequence":"additional","affiliation":[{"name":"National Pipeline Network Northern Pipeline Company, Langfang, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining XI"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA251667","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T13:19:19Z","timestamp":1769519959000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251667"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,27]]},"ISBN":["9781643686448"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251667","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,27]]}}}