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dc.contributor.authorHeidari, Ali Asghar
dc.contributor.authorMirjalili, Seyedali
dc.contributor.authorFaris, Hossam
dc.contributor.authorAljarah, Ibrahim
dc.contributor.authorMafarja, Majdi
dc.contributor.authorChen, Huiling
dc.date.accessioned2019-07-04T12:37:51Z
dc.date.available2019-07-04T12:37:51Z
dc.date.issued2019
dc.identifier.issn0167-739X
dc.identifier.doi10.1016/j.future.2019.02.028
dc.identifier.urihttp://hdl.handle.net/10072/384262
dc.description.abstractIn this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the cooperative behavior and chasing style of Harris’ hawks in nature called surprise pounce. In this intelligent strategy, several hawks cooperatively pounce a prey from different directions in an attempt to surprise it. Harris hawks can reveal a variety of chasing patterns based on the dynamic nature of scenarios and escaping patterns of the prey. This work mathematically mimics such dynamic patterns and behaviors to develop an optimization algorithm. The effectiveness of the proposed HHO optimizer is checked, through a comparison with other nature-inspired techniques, on 29 benchmark problems and several real-world engineering problems. The statistical results and comparisons show that the HHO algorithm provides very promising and occasionally competitive results compared to well-established metaheuristic techniques. Source codes of HHO are publicly available at http://www.alimirjalili.com/HHO.html and http://www.evo-ml.com/2019/03/02/hho.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier Science
dc.relation.ispartofpagefrom849
dc.relation.ispartofpageto872
dc.relation.ispartofjournalFUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
dc.relation.ispartofvolume97
dc.subject.fieldofresearchSoftware engineering
dc.subject.fieldofresearchcode4612
dc.titleHarris hawks optimization: Algorithm and applications
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2019 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence, which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorMirjalili, Seyedali


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