<?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>Stochastic Komodo Algorithm</dcterms:title><dcterms:identifier>https://doi.org/10.34820/FK2/UQKWB2</dcterms:identifier><dcterms:creator>Purba Daru Kusuma</dcterms:creator><dcterms:creator>Meta Kallista</dcterms:creator><dcterms:publisher>Telkom University Dataverse</dcterms:publisher><dcterms:issued>2022-07-14</dcterms:issued><dcterms:modified>2022-07-14T13:04:00Z</dcterms:modified><dcterms:description>A novel metaheuristic algorithm is proposed in this paper, namely stochastic komodo algorithm (SKA). This proposed algorithm is an improved version of Komodo mlipir algorithm (KMA), which is inspired by the behaviour of Komodo during foraging and mating. The improvement is conducted by simplifying the basic form of KMA.</dcterms:description><dcterms:subject>Computer and Information Science</dcterms:subject><dcterms:isReferencedBy>P. D. Kusuma and M. Kallista, "Stochastic Komodo Algorithm", International Journal of Intelligent Engineering and Systems, 15(4), 156-166, 2022., doi, 10.22266/ijies2022.0831.15</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>