Hybrid Four Vector Intelligent Metaheuristic andDE for Solving Complex and Engineering DesignOptimization Problems

Hybrid Four Vector Intelligent Metaheuristic andDE for Solving Complex and Engineering DesignOptimization Problems | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Hybrid Four Vector Intelligent Metaheuristic andDE for Solving Complex and Engineering DesignOptimization Problems hussam fakhouri, Abdelraouf Ishtaiwi, Sharif Makhadmeh, faten hamad This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4409293/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Metaheuristic algorithms play a pivotal role in addressing complex and nonlinear optimization challenges. However, traditional optimizers often struggle to locate the global optimum in intricate problem spaces, necessitating the development of hybrid methodologies. This paper introduces FVIMDE, a cutting-edge hybrid optimization algorithm that amalgamates the innovative Four Vector Intelligent Metaheuristic (FVIM) with the proven robustness of Differential Evolution (DE). Designed to adeptly maneuver through the complex terrains of various optimization and engineering design problems, FVIMDE is tested and evaluated over three well-known benchmark suites—CEC2017, CEC2022, and a specially set of 50 benchmark functions. statistacel tests has been calculated including mean, standard deviation and the wilcoxon sum rank test. Further FVIMDE has been compared with state-of-art optimizers. Subsequent applications of FVIMDE to five intricate structural engineering challenges further validate its effectiveness. Comparative analyses against several leading optimization algorithms highlight the superior adaptability and robustness of FVIMDE, showcasing its exceptional performance and significant improvements over traditional methods in diverse optimization environments. Metaheuristic Intelligent Optimization Engineering Design Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4409293","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":304908504,"identity":"58043595-98d9-4892-bb07-c6d87172209e","order_by":0,"name":"hussam fakhouri","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABDUlEQVRIiWNgGAWjYBACAyjNz8DDA6Il5CB8NgYGxgb8WiQboFqMSdbCkNgA04ILmEukP/7wM4dBgr/n7MHHvHss0jcc7z3A8KHsMANzO3ZrLGfkmEn2bmOQkDjbl2zM80wid8OZcwmMM84dZmDsOYDdYTdy2Bh4tzHUMZznMZPmOQDUciPHgJm3DahlRgIOLemPP/4F2iIP1ZJuANLyF6+WBANpoC0SBmd7wFoSwFoY8Wk588ZMWnabhIThmTPGhnMOSBjOBPrlYM+5dB6cfjkOdNjbbTYScmdyDB+8OVAnz3e89+CDH2XWcoY4QgwKJJA5PAwg43kM8epABZA4ZZAnXscoGAWjYBQMbwAAL21eerXjEXQAAAAASUVORK5CYII=","orcid":"","institution":"Petra University","correspondingAuthor":true,"prefix":"","firstName":"hussam","middleName":"","lastName":"fakhouri","suffix":""},{"id":304908510,"identity":"977ed0dd-2cfd-49fa-83e6-a145b36ebcc5","order_by":1,"name":"Abdelraouf Ishtaiwi","email":"","orcid":"","institution":"Petra University","correspondingAuthor":false,"prefix":"","firstName":"Abdelraouf","middleName":"","lastName":"Ishtaiwi","suffix":""},{"id":304908512,"identity":"ef95602a-e313-4c51-8f6b-ddad0fa99497","order_by":2,"name":"Sharif Makhadmeh","email":"","orcid":"","institution":"Petra University","correspondingAuthor":false,"prefix":"","firstName":"Sharif","middleName":"","lastName":"Makhadmeh","suffix":""},{"id":304908514,"identity":"30af3558-d899-4d09-8ac1-138e9fff034d","order_by":3,"name":"faten hamad","email":"","orcid":"","institution":"Sultan Qaboos University","correspondingAuthor":false,"prefix":"","firstName":"faten","middleName":"","lastName":"hamad","suffix":""}],"badges":[],"createdAt":"2024-05-12 17:08:40","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4409293/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4409293/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":58393257,"identity":"6108be44-18bb-4cda-b6d8-22f328221db5","added_by":"auto","created_at":"2024-06-14 21:53:34","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1654261,"visible":true,"origin":"","legend":"","description":"","filename":"engineering3FVIMDE2.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4409293/v1_covered_426321ea-a775-4277-9aea-023aa95528d5.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Hybrid Four Vector Intelligent Metaheuristic andDE for Solving Complex and Engineering DesignOptimization Problems","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Metaheuristic , Intelligent, Optimization, Engineering Design","lastPublishedDoi":"10.21203/rs.3.rs-4409293/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4409293/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eMetaheuristic algorithms play a pivotal role in addressing complex and nonlinear optimization challenges. However, traditional optimizers often struggle to locate the global optimum in intricate problem spaces, necessitating the development of hybrid methodologies. This paper introduces FVIMDE, a cutting-edge hybrid optimization algorithm that amalgamates the innovative Four Vector Intelligent Metaheuristic (FVIM) with the proven robustness of Differential Evolution (DE). Designed to adeptly maneuver through the complex terrains of various optimization and engineering design problems, FVIMDE is tested and evaluated over three well-known benchmark suites\u0026mdash;CEC2017, CEC2022, and a specially set of 50 benchmark functions. statistacel tests has been calculated including mean, standard deviation and the wilcoxon sum rank test. Further FVIMDE has been compared with state-of-art optimizers. Subsequent applications of FVIMDE to five intricate structural engineering challenges further validate its effectiveness. 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