Bioinspired intelligent algorithm and its applications for mobile robot control: a survey
Bioinspired intelligent algorithm (BIA) is a kind of intelligent computing method, which is with
a more lifelike biological working mechanism than other types. BIAs have made significant …
a more lifelike biological working mechanism than other types. BIAs have made significant …
Applications and challenges of artificial intelligence in space missions
PA Oche, GA Ewa, N Ibekwe - IEEE Access, 2021 - ieeexplore.ieee.org
Artificial Intelligence (AI) is increasingly finding acceptance in the space community,
especially Machine Learning (ML), a subdomain of AI. ML algorithms now find numerous …
especially Machine Learning (ML), a subdomain of AI. ML algorithms now find numerous …
Adaptive frequency regulation strategy in multi-area microgrids including renewable energy and electric vehicles supported by virtual inertia
With the increased level of penetration of distributed generators (DGs), renewable energy
sources (RESs) in microgrids (μGs), the impact of damping, and low inertia effect on the grid …
sources (RESs) in microgrids (μGs), the impact of damping, and low inertia effect on the grid …
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 …
Optimal PID controller design through swarm intelligence algorithms for sun tracking system
Due to depletion of fossil fuel many developing countries like Pakistan are facing energy
crisis. Over the last decade Pakistan has suffered greatly economically due to energy crisis …
crisis. Over the last decade Pakistan has suffered greatly economically due to energy crisis …
An Algorithmic Approach to System Identification in the Delta Domain Using FAdFPA Algorithm
This chapter addresses the identification of linear dynamic framework with static nonlinearity
in the delta domains, dependent on the firefly-centered hybrid metaheuristic algorithm that …
in the delta domains, dependent on the firefly-centered hybrid metaheuristic algorithm that …
A PI controller optimized with modified differential evolution algorithm for speed control of BLDC motor
H Jigang, F Hui, W Jie - Automatika: časopis za automatiku, mjerenje …, 2019 - hrcak.srce.hr
Sažetak In this paper, a proportional integral (PI) controller that optimized with the modified
different evolutional (DE) algorithm is proposed for speed control of brushless direct-current …
different evolutional (DE) algorithm is proposed for speed control of brushless direct-current …
[HTML][HTML] A novel adaptive load frequency control in single and interconnected power systems
This paper presents an adaptive load frequency control technique in both of isolated
microgrid power system and two interconnected microgrids (MGs). A modified Jaya …
microgrid power system and two interconnected microgrids (MGs). A modified Jaya …
An effective bacterial foraging optimizer for global optimization
W Zhao, L Wang - Information Sciences, 2016 - Elsevier
Bacterial foraging optimization (BFO) inspired by a behavior of bacteria called chemotaxis is
a novel stochastic optimization algorithm, its chemotactic movement mimics a trial solution …
a novel stochastic optimization algorithm, its chemotactic movement mimics a trial solution …
Enhanced dynamic performance in DC–DC converter‐PMDC motor combination through an intelligent non‐linear adaptive control scheme
A novel neuro‐adaptive control scheme is proposed in the context of angular velocity
tracking in DC–DC buck converter driven permanent magnet DC motor system. The …
tracking in DC–DC buck converter driven permanent magnet DC motor system. The …