An enhanced Bacterial Foraging Optimization and its application for training kernel extreme learning machine
The Bacterial Foraging Optimization (BFO) algorithm is a swarm intelligent algorithm widely used in various optimization problems. However, BFO suffers from multiple drawbacks, including slow convergence speed, inability to jump out of local optima and fixed step length. In this study, an enhanced B...
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Published in | Applied soft computing Vol. 86; p. 105884 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.01.2020
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Subjects | |
Online Access | Get full text |
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