Bio inspired computing–a review of algorithms and scope of applications
AK Kar - Expert Systems with Applications, 2016 - Elsevier
With the explosion of data generation, getting optimal solutions to data driven problems is
increasingly becoming a challenge, if not impossible. It is increasingly being recognised that …
increasingly becoming a challenge, if not impossible. It is increasingly being recognised that …
Bacterial foraging optimization algorithm: theoretical foundations, analysis, and applications
Bacterial foraging optimization algorithm (BFOA) has been widely accepted as a global
optimization algorithm of current interest for distributed optimization and control. BFOA is …
optimization algorithm of current interest for distributed optimization and control. BFOA is …
A survey of dynamic parameter setting methods for nature-inspired swarm intelligence algorithms
Parameter settings for nature-inspired optimization algorithms are essential for their effective
performance. Evolutionary algorithms and swarm intelligence algorithms are prominent …
performance. Evolutionary algorithms and swarm intelligence algorithms are prominent …
Bacterial foraging optimization
KM Passino - Innovations and Developments of Swarm Intelligence …, 2012 - igi-global.com
The bacterial foraging optimization (BFO) algorithm mimics how bacteria forage over a
landscape of nutrients to perform parallel nongradient optimization. In this article, the author …
landscape of nutrients to perform parallel nongradient optimization. In this article, the author …
A hybrid PSO–BFO evolutionary algorithm for optimization of fused deposition modelling process parameters
M Raju, MK Gupta, N Bhanot, VS Sharma - Journal of Intelligent …, 2019 - Springer
Fused deposition modeling (FDM), a well known 3D printing technology is widely used in
various sorts of industrial applications because of its ability to manufacture complex objects …
various sorts of industrial applications because of its ability to manufacture complex objects …
Adaptive computational chemotaxis based on field in bacterial foraging optimization
X Xu, H Chen - Soft Computing, 2014 - Springer
Bacterial foraging optimization (BFO) is predominately used to find solutions for real-world
problems. One of the major characteristics of BFO is the chemotactic movement of a virtual …
problems. One of the major characteristics of BFO is the chemotactic movement of a virtual …
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 …
Adaptive computational chemotaxis in bacterial foraging optimization: an analysis
In his seminal paper published in 2002, Passino pointed out how individual and groups of
bacteria forage for nutrients and how to model it as a distributed optimization process, which …
bacteria forage for nutrients and how to model it as a distributed optimization process, which …
Hybrid spiral-bacterial foraging algorithm for a fuzzy control design of a flexible manipulator
A novel hybrid strategy combining a spiral dynamic algorithm (SDA) and a bacterial foraging
algorithm (BFA) is presented in this article. A spiral model is incorporated into the …
algorithm (BFA) is presented in this article. A spiral model is incorporated into the …
Variations of the bacterial foraging algorithm for the extraction of PV module parameters from nameplate data
MA Awadallah - Energy conversion and management, 2016 - Elsevier
The paper introduces the task of parameter extraction of photovoltaic (PV) modules as a
nonlinear optimization problem. The concerned parameters are the series resistance, shunt …
nonlinear optimization problem. The concerned parameters are the series resistance, shunt …