{"@context":"http://schema.org","@type":"Dataset","@id":"https://doi.org/10.34820/FK2/4PZIZ9","identifier":"https://doi.org/10.34820/FK2/4PZIZ9","name":"Hybrid Pelican Komodo Algorithm","creator":[{"name":"Purba Daru Kusuma","affiliation":"Telkom University"},{"name":"Ashri Dinimaharawati","affiliation":"Telkom University"}],"author":[{"name":"Purba Daru Kusuma","affiliation":"Telkom University"},{"name":"Ashri Dinimaharawati","affiliation":"Telkom University"}],"datePublished":"2022-07-14","dateModified":"2022-07-14","version":"1","description":["In this work, a new metaheuristic algorithm, namely the hybrid pelican Komodo algorithm (HPKA), has been proposed. This algorithm is developed by hybridizing two shortcoming metaheuristic algorithms: the Pelican Optimization Algorithm (POA) and Komodo Mlipir Algorithm (KMA)."],"keywords":["Computer and Information Science"],"citation":[{"@type":"CreativeWork","text":"P. D. Kusuma and A. Dinimaharawati, \"Hybrid Pelican Komodo Algorithm\", International Journal of Advanced Computer Science and Applications, 13(6), 46-55, 2022."}],"license":{"@type":"Dataset","text":"CC0","url":"https://creativecommons.org/publicdomain/zero/1.0/"},"includedInDataCatalog":{"@type":"DataCatalog","name":"Telkom University Dataverse","url":"https://dataverse.telkomuniversity.ac.id"},"publisher":{"@type":"Organization","name":"Telkom University Dataverse"},"provider":{"@type":"Organization","name":"Telkom University Dataverse"},"distribution":[{"@type":"DataDownload","name":"Paper_7-Hybrid_Pelican_Komodo_Algorithm.pdf","fileFormat":"application/pdf","contentSize":256160,"@id":"https://doi.org/10.34820/FK2/4PZIZ9/FH2BMV","identifier":"https://doi.org/10.34820/FK2/4PZIZ9/FH2BMV","contentUrl":"https://dataverse.telkomuniversity.ac.id/api/access/datafile/8986"}]}