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Book Chapter
Hybrid ABFA-APSO Algorithm
S.M. Hassan
,
R. Ibrahim
,
N. Saad
,
Kishore Bingi
,
V.S. Asirvadam
Published in Springer
2020
DOI:
10.1007/978-3-030-47737-0_5
Volume: 293
Pages: 121 - 140
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.
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Journal Details
Authors (1)
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Journal
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Studies in Systems, Decision and Control
Publisher
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Springer
ISSN
21984182
Authors (1)
Kishore Bingi
Department of Control and Automation
School of Electrical Engineering
Vellore Campus
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