Modified Social Forces Algorithm: from Pedestrian Dynamic to Metaheuristic Optimization (doi:10.34820/FK2/7GFPBU)

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Document Description

Citation

Title:

Modified Social Forces Algorithm: from Pedestrian Dynamic to Metaheuristic Optimization

Identification Number:

doi:10.34820/FK2/7GFPBU

Distributor:

Telkom University Dataverse

Date of Distribution:

2022-07-14

Version:

1

Bibliographic Citation:

Purba 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, V1

Study Description

Citation

Title:

Modified Social Forces Algorithm: from Pedestrian Dynamic to Metaheuristic Optimization

Identification Number:

doi:10.34820/FK2/7GFPBU

Authoring Entity:

Purba Daru Kusuma (Telkom University)

Dimas Adiputra (Institut Teknologi Telkom Surabaya)

Distributor:

Telkom University Dataverse

Access Authority:

DARU KUSUMA, PURBA

Depositor:

DARU KUSUMA, PURBA

Date of Deposit:

2022-07-14

Study Scope

Keywords:

Computer and Information Science

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.

Methodology and Processing

Sources Statement

Data Access

Notes:

CC0 Waiver

Other Study Description Materials

Related Publications

Citation

Identification Number:

10.22266/ijies2022.0630.25

Bibliographic Citation:

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.

Other Study-Related Materials

Label:

2022063025-2_published.pdf

Notes:

application/pdf