Fig Tree-Wasp Symbiotic Coevolutionary Optimization Algorithm

Fig Tree-Wasp Symbiotic Coevolutionary Optimization Algorithm | 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 Fig Tree-Wasp Symbiotic Coevolutionary Optimization Algorithm Anand Jayant kulkarni, Isha Purnapatre, Apoorva S Shastri This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6844430/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 The nature inspired algorithms are becoming popular due to their simplicity and wider applicability. In the recent past several such algorithms have been developed. They are mainly bio-inspired, swarm based, physics based and socio-inspired; however, the domain based on symbiotic relation between creatures is still to be explored. A novel metaheuristic optimization algorithm referred to as Fig Tree-Wasp Symbiotic Coevolutionary (FWSC) algorithm is proposed. It models the symbiotic coevolutionary relationship between fig trees and wasps. More specifically, the mating of wasps, pollinating the figs, searching for new trees for pollination and wind effect drifting of wasps are modeled in the algorithm. These phenomena help in balancing the two important aspects of exploring the search space efficiently as well as exploit the promising regions. The algorithm is successfully tested on a variety of test problems. The results are compared with existing methods and algorithms. The Wilcoxon Signed Rank Test and Friedman Test are applied for the statistical validation of the algorithm performance. The algorithm is also further applied to solve the real-world engineering problems. The performance of the FWSC underscored that the algorithm can be applied to wider variety of real-world problems. Fig Tree-Wasp Symbiotic Coevolutionary algorithm Optimization Coevolution Test Problems Full Text 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-6844430","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":496122715,"identity":"c341d85d-b9da-4c8b-8419-5957c270bd65","order_by":0,"name":"Anand Jayant kulkarni","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3UlEQVRIiWNgGAWjYBACCQbmZoYEAwk7fgifmRgtjM0MHypskiUbmEnQwjjjTBrjhgPEapGckdhszNt2mNn4dv8xCYYK68QG/uMX8GqRlkhsTgZq4TO7c5hNguFMemKDRE4BXi1yQC2HQbaY3Uhmk2BsOwzUwpNAlBbGzTNAWv4BtfCfwa8F5LBEsPclQFoagFoY0g/g1SLZ87DZABTIEjeSjS0SjqUbt0nk4NXBIHE8+bAEOCpnJD688aHGWraf//gD/HpQAMgTbAw8BiRogQB2UmwZBaNgFIyCEQAA2VxFrlF2iIgAAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0001-6242-9492","institution":"Dr Vishwanath Karad MIT World Peace University","correspondingAuthor":true,"prefix":"","firstName":"Anand","middleName":"Jayant","lastName":"kulkarni","suffix":""},{"id":496122716,"identity":"bf201db6-896e-4d43-8472-fd26884257f8","order_by":1,"name":"Isha Purnapatre","email":"","orcid":"","institution":"Cummins College of Engineering for Women","correspondingAuthor":false,"prefix":"","firstName":"Isha","middleName":"","lastName":"Purnapatre","suffix":""},{"id":496122717,"identity":"1845c736-51dc-4df7-8ab7-5fe208fe8054","order_by":2,"name":"Apoorva S Shastri","email":"","orcid":"","institution":"Dr Vishwanath Karad MIT World Peace University","correspondingAuthor":false,"prefix":"","firstName":"Apoorva","middleName":"S","lastName":"Shastri","suffix":""}],"badges":[],"createdAt":"2025-06-07 19:21:02","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6844430/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6844430/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":91477005,"identity":"ec1a77b8-2084-425d-9052-69cff728302d","added_by":"auto","created_at":"2025-09-17 01:33:16","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2267729,"visible":true,"origin":"","legend":"","description":"","filename":"FWSC.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6844430/v1_covered_dc82c43c-edeb-4901-87e6-a74c8d72b048.pdf"}],"financialInterests":"","formattedTitle":"Fig Tree-Wasp Symbiotic Coevolutionary Optimization Algorithm","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":"Fig Tree-Wasp Symbiotic Coevolutionary algorithm, Optimization, Coevolution, Test Problems","lastPublishedDoi":"10.21203/rs.3.rs-6844430/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6844430/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe nature inspired algorithms are becoming popular due to their simplicity and wider applicability. 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