<?xml version="1.0" encoding="UTF-8"?>
<resource xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4/metadata.xsd"
          xmlns="http://datacite.org/schema/kernel-4"
          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <identifier identifierType="DOI">10.34820/FK2/7GFPBU</identifier>
    <creators><creator><creatorName>Purba Daru Kusuma</creatorName><affiliation>(Telkom University)</affiliation></creator><creator><creatorName>Dimas Adiputra</creatorName><affiliation>(Institut Teknologi Telkom Surabaya)</affiliation></creator></creators>
    <titles>
        <title>Modified Social Forces Algorithm: from Pedestrian Dynamic to Metaheuristic Optimization</title>
    </titles>
    <publisher>Telkom University Dataverse</publisher>
    <publicationYear>2022</publicationYear>
    <resourceType resourceTypeGeneral="Dataset"/>
    <relatedIdentifiers><relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">doi:10.34820/FK2/7GFPBU/NF6WW1</relatedIdentifier></relatedIdentifiers>
    <descriptions>
        <description descriptionType="Abstract">This work proposes a new simple metaheuristic optimization method inspired by the social forces model used in pedestrian dynamics. The proposed model is a swarm-based model where a collective intelligence is shared among the agents, consisting of several persons or agents who walk over the search space to find the best solution.</description>
    </descriptions>
    <contributors><contributor contributorType="ContactPerson"><contributorName>DARU KUSUMA, PURBA</contributorName><affiliation>(fakultas teknik elektro - rekayasa komputer)</affiliation></contributor></contributors>
</resource>
