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Hybrid ABFA-APSO Algorithm
S.M. Hassan, R. Ibrahim, N. Saad, , V.S. Asirvadam
Published in Springer
2020
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.
About the journal
JournalData powered by TypesetStudies in Systems, Decision and Control
PublisherData powered by TypesetSpringer
ISSN21984182