Hybridizing salp swarm algorithm with particle swarm optimization algorithm for recent optimization functions
The salp swarm algorithm (SSA) has shown its fast search speed in several challenging
problems. Research shows that not every nature-inspired approach is suitable for all …
problems. Research shows that not every nature-inspired approach is suitable for all …
Particle swarm algorithm path-planning method for mobile robots based on artificial potential fields
L Zheng, W Yu, G Li, G Qin, Y Luo - Sensors, 2023 - mdpi.com
Path planning is an important part of the navigation control system of mobile robots since it
plays a decisive role in whether mobile robots can realize autonomy and intelligence. The …
plays a decisive role in whether mobile robots can realize autonomy and intelligence. The …
A new fusion of salp swarm with sine cosine for optimization of non-linear functions
The foremost objective of this article is to develop a novel hybrid powerful meta-heuristic that
integrates the salp swarm algorithm with sine cosine algorithm (called HSSASCA) for …
integrates the salp swarm algorithm with sine cosine algorithm (called HSSASCA) for …
A new hybrid whale optimizer algorithm with mean strategy of grey wolf optimizer for global optimization
The quest for an efficient nature-inspired optimization technique has continued over the last
few decades. In this paper, a hybrid nature-inspired optimization technique has been …
few decades. In this paper, a hybrid nature-inspired optimization technique has been …
Hybridizing sine–cosine algorithm with harmony search strategy for optimization design problems
Recent developments designate the quick growing of optimization meta-heuristics in the
domain of optimization. Sine–cosine optimizer is a stochastic technique that generates …
domain of optimization. Sine–cosine optimizer is a stochastic technique that generates …
A modified variant of grey wolf optimizer
N Singh - Scientia Iranica, 2020 - scientiairanica.sharif.edu
The original version of Grey Wolf Optimization (GWO) algorithm has small number of
disadvantages of low solving accuracy, bad local searching ability and slow convergence …
disadvantages of low solving accuracy, bad local searching ability and slow convergence …
Nature-inspired optimization algorithms: research direction and survey
SR Kumar, KD Singh - arXiv preprint arXiv:2102.04013, 2021 - arxiv.org
Nature-inspired algorithms are commonly used for solving the various optimization
problems. In past few decades, various researchers have proposed a large number of …
problems. In past few decades, various researchers have proposed a large number of …
A novel Archimedes optimization algorithm with levy flight for designing microstrip patch antenna
R Singh, R Kaur - Arabian Journal for Science and Engineering, 2022 - Springer
The Archimedes optimization algorithm (AOA) based on the principle of upward force on an
object, partially or completely submerged in a liquid, in proportion to the weight of the …
object, partially or completely submerged in a liquid, in proportion to the weight of the …
Enhanced chimp optimization algorithm for high level synthesis of digital filters
The HLS of digital filters is a complex optimization task in electronic design automation that
increases the level of abstraction for designing and scheming digital circuits. The complexity …
increases the level of abstraction for designing and scheming digital circuits. The complexity …
Intelligent Integrated Approach for Voltage Balancing Using Particle Swarm Optimization and Predictive Models
J Ghaeb, I Al-Naimi, M Alkayyali - Journal of Electrical and …, 2023 - Wiley Online Library
In this paper, an intelligent integrated approach is proposed to control the reactive power
and restore the voltage balance in a three‐phase power system using particle swarm …
and restore the voltage balance in a three‐phase power system using particle swarm …