Modified Social Forces Algorithm: from Pedestrian Dynamic to Metaheuristic Optimizationdoi:10.34820/FK2/7GFPBUTelkom University Dataverse2022-07-141Purba Daru Kusuma; Dimas Adiputra, 2022, "Modified Social Forces Algorithm: from Pedestrian Dynamic to Metaheuristic Optimization", https://doi.org/10.34820/FK2/7GFPBU, Telkom University Dataverse, V1Modified Social Forces Algorithm: from Pedestrian Dynamic to Metaheuristic Optimizationdoi:10.34820/FK2/7GFPBUPurba Daru KusumaDimas AdiputraTelkom University DataverseDARU KUSUMA, PURBADARU KUSUMA, PURBA2022-07-14Computer and Information ScienceThis 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.CC0 Waiver10.22266/ijies2022.0630.25P. 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, 2022.2022063025-2_published.pdfapplication/pdf