An enhanced bacterial foraging optimization and its application for training kernel extreme learning machine
H Chen, Q Zhang, J Luo, Y Xu, X Zhang - Applied Soft Computing, 2020 - Elsevier
Abstract The Bacterial Foraging Optimization (BFO) algorithm is a swarm intelligent
algorithm widely used in various optimization problems. However, BFO suffers from multiple …
algorithm widely used in various optimization problems. However, BFO suffers from multiple …
A survey of bacterial foraging optimization
Bacterial foraging optimization algorithm (BFO) is a biological-inspired swarm intelligence
optimization algorithm that simulates the foraging behavior of bacteria to obtain maximal …
optimization algorithm that simulates the foraging behavior of bacteria to obtain maximal …
Chaos enhanced bacterial foraging optimization for global optimization
Q Zhang, H Chen, J Luo, Y Xu, C Wu, C Li - Ieee Access, 2018 - ieeexplore.ieee.org
The recently developed Bacterial Foraging Optimization algorithm (BFO) is a nature-inspired
optimization algorithm based on the foraging behavior of Escherichia coli. Due to its …
optimization algorithm based on the foraging behavior of Escherichia coli. Due to its …
Large scale continuous global optimization based on micro differential evolution with local directional search
Over the years, many optimization algorithms have been developed to solve large-scale
optimization problems accurately and efficiently. In this regard, Memetic Algorithms offer …
optimization problems accurately and efficiently. In this regard, Memetic Algorithms offer …
Hybrid ABFA-APSO Algorithm
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 …
algorithm (BFA) and to hybridize it with accelerated particle swarm optimization (APSO) in …
[图书][B] Hybrid PID Based Predictive Control Strategies for WirelessHART Networked Control Systems
Recent advances in wireless technology have led to the emergence of industry standards
such as WirelessHART. These strategies minimise the need for cumbersome cabling …
such as WirelessHART. These strategies minimise the need for cumbersome cabling …
[PDF][PDF] Improved dynamic virtual bats algorithm for global numerical optimization
Dynamic Virtual Bats Algorithm (DVBA) is a relatively new nature inspired optimization
algorithm. DVBA, like Bat Algorithm (BA), is fundamentally inspired by bat's hunting …
algorithm. DVBA, like Bat Algorithm (BA), is fundamentally inspired by bat's hunting …
Dynamic virtual bats algorithm with probabilistic selection restart technique
Nature inspired algorithms have gained increasing attention as a powerful technique for
solving optimization problems. Dynamic virtual bats algorithm (DVBA) is a relatively new …
solving optimization problems. Dynamic virtual bats algorithm (DVBA) is a relatively new …
Parametric analysis of BFOA for minimization problems using a benchmark function
DM Zambrano, D Vélez, Y Daza… - Enfoque UTE, 2019 - scielo.senescyt.gob.ec
This paper presents the social foraging behavior of Escherichia coli (E. Coli) bacteria based
on Bacteria Foraging Optimization algorithms (BFOA) to find optimization and distributed …
on Bacteria Foraging Optimization algorithms (BFOA) to find optimization and distributed …
A modified bacterial foraging optimization algorithm for global optimization
X Yan, Z Zhang, J Guo, S Li, S Zhao - … 2016, Lanzhou, China, August 2-5 …, 2016 - Springer
To improve the optimization ability of Bacterial Foraging Optimization (BFO), A Modified
Bacterial Foraging Optimization algorithm is proposed, which we named MBFO. In MBFO …
Bacterial Foraging Optimization algorithm is proposed, which we named MBFO. In MBFO …