{"@context":"http://schema.org","@type":"Dataset","@id":"https://doi.org/10.34820/FK2/7GFPBU","identifier":"https://doi.org/10.34820/FK2/7GFPBU","name":"Modified Social Forces Algorithm: from Pedestrian Dynamic to Metaheuristic Optimization","creator":[{"name":"Purba Daru Kusuma","affiliation":"Telkom University"},{"name":"Dimas Adiputra","affiliation":"Institut Teknologi Telkom Surabaya"}],"author":[{"name":"Purba Daru Kusuma","affiliation":"Telkom University"},{"name":"Dimas Adiputra","affiliation":"Institut Teknologi Telkom Surabaya"}],"datePublished":"2022-07-14","dateModified":"2022-07-14","version":"1","description":["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."],"keywords":["Computer and Information Science"],"citation":[{"@type":"CreativeWork","text":"P. D. Kusuma and D. Adiputra, \"Modified Social Forces Algorithm: from Pedestrian Dynamic to Metaheuristic Optimization\", International Journal of Intelligent Engineering and Systems, 15(3), 294-303, 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":"2022063025-2_published.pdf","fileFormat":"application/pdf","contentSize":373836,"@id":"https://doi.org/10.34820/FK2/7GFPBU/NF6WW1","identifier":"https://doi.org/10.34820/FK2/7GFPBU/NF6WW1","contentUrl":"https://dataverse.telkomuniversity.ac.id/api/access/datafile/8968"}]}