Dimensions
DimensionsHassan, S.M. and Ibrahim, R. and Saad, N. and Bingi, K. and Asirvadam, V.S. (2020) Hybrid ABFA-APSO Algorithm. Studies in Systems, Decision and Control, 293. pp. 121-140. ISSN 21984182
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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
Abstract
The aim of this chapter is to propose improvement to the adaptation of bacterial foraging algorithm (BFA) and to hybridize it with accelerated particle swarm optimization (APSO) in order to accelerate its convergence. In the proposed algorithm, the random walk in the chemotaxis stage of the ABFA is updated through the velocity equation of the APSO. © 2020, Springer Nature Switzerland AG.
| Item Type: | Article |
|---|---|
| Additional Information: | cited By 8 |
| Depositing User: | Mr Ahmad Suhairi UTP |
| Date Deposited: | 10 Nov 2023 03:28 |
| Last Modified: | 10 Nov 2023 03:28 |
| URI: | https://khub.utp.edu.my/scholars/id/eprint/13866 |
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