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Particle swarm optimization algorithm and its applications: a systematic review
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 …
Particle swarm optimization: A comprehensive survey
Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms
in the literature. Although the original PSO has shown good optimization performance, it still …
in the literature. Although the original PSO has shown good optimization performance, it still …
Major advances in particle swarm optimization: theory, analysis, and application
Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …
25 years of particle swarm optimization: Flourishing voyage of two decades
From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …
gaining more popularity because of their effectiveness in solving problems of distinct …
SEIR modeling of the COVID-19 and its dynamics
In this paper, a SEIR epidemic model for the COVID-19 is built according to some general
control strategies, such as hospital, quarantine and external input. Based on the data of …
control strategies, such as hospital, quarantine and external input. Based on the data of …
The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction
Precise streamflow prediction is necessary for better planning and managing available
water and future water resources, especially for high altitude mountainous glacier melting …
water and future water resources, especially for high altitude mountainous glacier melting …
An improved Harris Hawks optimization algorithm with multi-strategy for community detection in social network
The purpose of community detection in complex networks is to identify the structural location
of nodes. Complex network methods are usually graphical, with graph nodes representing …
of nodes. Complex network methods are usually graphical, with graph nodes representing …
Energy-optimized partial computation offloading in mobile-edge computing with genetic simulated-annealing-based particle swarm optimization
Smart mobile devices (SMDs) can meet users' high expectations by executing computational
intensive applications but they only have limited resources, including CPU, memory, battery …
intensive applications but they only have limited resources, including CPU, memory, battery …
Mantis Search Algorithm: A novel bio-inspired algorithm for global optimization and engineering design problems
This study presents a new nature-inspired optimization algorithm, namely the Mantis Search
Algorithm (MSA), inspired by the unique hunting behavior and sexual cannibalism of praying …
Algorithm (MSA), inspired by the unique hunting behavior and sexual cannibalism of praying …
[HTML][HTML] Population size in particle swarm optimization
Abstract Particle Swarm Optimization (PSO) is among the most universally applied
population-based metaheuristic optimization algorithms. PSO has been successfully used in …
population-based metaheuristic optimization algorithms. PSO has been successfully used in …