TY  - JOUR
AV  - none
N2  - 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.
N1  - cited By 8
ID  - scholars13866
TI  - Hybrid ABFA-APSO Algorithm
SP  - 121
Y1  - 2020///
PB  - Springer
SN  - 21984182
A1  - Hassan, S.M.
A1  - Ibrahim, R.
A1  - Saad, N.
A1  - Bingi, K.
A1  - Asirvadam, V.S.
JF  - Studies in Systems, Decision and Control
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085220140&doi=10.1007%2f978-3-030-47737-0_5&partnerID=40&md5=3caee760e8a0a4d29eddc6cba19a1bc5
EP  - 140
VL  - 293
ER  -