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[HTML][HTML] An overview of variants and advancements of PSO algorithm
Particle swarm optimization (PSO) is one of the most famous swarm-based optimization
techniques inspired by nature. Due to its properties of flexibility and easy implementation …
techniques inspired by nature. Due to its properties of flexibility and easy implementation …
Particle swarm optimization algorithm and its applications: a systematic review
AG Gad - Archives of computational methods in engineering, 2022 - Springer
Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm
In this paper, a novel swarm-based metaheuristic algorithm inspired from the behaviors of
beluga whales, called beluga whale optimization (BWO), is presented to solve optimization …
beluga whales, called beluga whale optimization (BWO), is presented to solve optimization …
[HTML][HTML] Emerging trends in blockchain technology and applications: A review and outlook
At present times, Blockchain technology is gaining more attraction with every passing day,
as it has revolutionized the traditional trade due to its distributed ledger feature, every record …
as it has revolutionized the traditional trade due to its distributed ledger feature, every record …
[HTML][HTML] Identification of photovoltaic module parameters by implementing a novel teaching learning based optimization with unique exemplar generation scheme …
The performance evaluation of a Photovoltaic (PV) system heavily relies on accurately
estimating the parameters based on its current—voltage relationships. However, due to the …
estimating the parameters based on its current—voltage relationships. However, due to the …
Multi-surrogate assisted binary particle swarm optimization algorithm and its application for feature selection
The evolutionary algorithms (EAs) have been shown favorable performance for feature
selection. However, a large number of evaluations are required through the EAs. Thus, they …
selection. However, a large number of evaluations are required through the EAs. Thus, they …
Combining autoregressive integrated moving average with Long Short-Term Memory neural network and optimisation algorithms for predicting ground water level
The groundwater resources are the essential sources for irrigation and agriculture
management. Forecasting groundwater levels (GWL) for the current and future periods is an …
management. Forecasting groundwater levels (GWL) for the current and future periods is an …
An improved binary sparrow search algorithm for feature selection in data classification
Feature Selection (FS) is an important preprocessing step that is involved in machine
learning and data mining tasks for preparing data (especially high-dimensional data) by …
learning and data mining tasks for preparing data (especially high-dimensional data) by …
PSO-sono: A novel PSO variant for single-objective numerical optimization
Z Meng, Y Zhong, G Mao, Y Liang - Information Sciences, 2022 - Elsevier
Abstract Particle Swarm Optimization (PSO) is a well-known and powerful meta-heuristic
algorithm in Swarm Intelligence (SI), and it was invented by simulating the foraging behavior …
algorithm in Swarm Intelligence (SI), and it was invented by simulating the foraging behavior …
Competitive swarm optimizer: a decade survey
Since its inception in 2014, the Competitive Swarm Optimizer (CSO) has emerged as a
significant advancement in the field of swarm intelligence, particularly in addressing large …
significant advancement in the field of swarm intelligence, particularly in addressing large …