<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Hybrid Pelican Komodo Algorithm</dcterms:title><dcterms:identifier>https://doi.org/10.34820/FK2/4PZIZ9</dcterms:identifier><dcterms:creator>Purba Daru Kusuma</dcterms:creator><dcterms:creator>Ashri Dinimaharawati</dcterms:creator><dcterms:publisher>Telkom University Dataverse</dcterms:publisher><dcterms:issued>2022-07-14</dcterms:issued><dcterms:modified>2022-07-14T13:09:29Z</dcterms:modified><dcterms: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).</dcterms:description><dcterms:subject>Computer and Information Science</dcterms:subject><dcterms:isReferencedBy>P. D. Kusuma and A. Dinimaharawati, "Hybrid Pelican Komodo Algorithm", International Journal of Advanced Computer Science and Applications, 13(6), 46-55, 2022.</dcterms:isReferencedBy><dcterms:contributor>DARU KUSUMA, PURBA</dcterms:contributor><dcterms:dateSubmitted>2022-07-14</dcterms:dateSubmitted><dcterms:license>CC0</dcterms:license><dcterms:rights>CC0 Waiver</dcterms:rights></metadata>