Scholarly PublicationHassan, 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.
Full text not available from this repository.
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 |
|---|---|
| Impact Factor: | cited By 1 |
| Depositing User: | Ms Sharifah Fahimah Saiyed Yeop |
| Date Deposited: | 27 Aug 2021 06:27 |
| Last Modified: | 27 Aug 2021 06:27 |
| URI: | http://scholars.utp.edu.my/id/eprint/24787 |
Actions (login required)
- View Item
Altmetric
Altmetric