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Recent Advances in Swarm Intelligence Algorithms and Their Applications

This reprint comprises a collection of 20 articles that were accepted and published in the Special Issue titled " Recent Advances in Swarm Intelligence Algorithms and Their Applications" of the MDPI journal Mathematics. These articles cover a wide range of topics related to swarm intelligence algori...

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Gespeichert in:
Format: Online
Sprache:Englisch
Veröffentlicht: MDPI - Multidisciplinary Digital Publishing Institute 2023
Schlagworte:
preference incorporation
ant colony optimisation
grey wolf optimisation
interval outranking
multi-criteria decision analysis
swarm intelligence algorithms
piecewise linearization
optimization
parameter tuning
approximation
experimental comparison
graph convolutional network
relation extraction
machine learning
natural language processing
metaheuristic algorithms
Whale Optimization Algorithm
HBA
radial distribution systems
power loss
sensitivity analysis
DG optimal allocation
voltage deviation
capacitor banks
electricity market
optimal bidding
Harris Hawk Optimization
multi layered neural network
bi-level optimization
strategic bidding
ground-penetrating radar (GPR)
cavity morphology recognition
few-shot learning (FSL)
deep learning (DL)
relation network (RelationNet)
unmanned aerial vehicle swarm
antenna array
near-field beamforming
array element position error compensation
spatial area division
economic load dispatch
pigeon-inspired optimizer
oppositional-based learning
swarm intelligence algorithm
oppositional-based pigeon-inspired optimizer
tunicate swarm algorithm
chaotic mapping
Lévy flight strategy
benchmark test functions
engineering design problems
meta-heuristic
large-scale agents
attack and defense
multi-population mean-field game
high-dimensional solution space
neural networks
bat algorithm
hybrid strategy
energy harvesting
NOMA
cognitive relay network
multimodal optimization
multiple optima
partition-based random search
niching
global optimization problems
moth-flame optimization
premature convergence
population diversity
grey wolf optimization
swarm intelligence
real world application
spiking neural P system
AEC system
LMS
neuromorphic architecture
FPGA
Harris hawks optimization
elite opposition-based learning
Sobol sequence
nonlinear weight
Gaussian walk learning
particle swarm optimization algorithm
dynamic vibration absorber
Maxwell-type
inerter
negative stiffness
chaotic-based PPE algorithm
meta-heuristic algorithm
chaotic maps
Mahjong
differential evolution
deficiency number
combinatorial optimization
reinforcement learning
multi-agent reinforcement learning
self play
population play
n/a
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
thema EDItEUR::U Computing and Information Technology::UY Computer science
Online-Zugang:ONIX_20230808_9783036582542_55
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Zusammenfassung:This reprint comprises a collection of 20 articles that were accepted and published in the Special Issue titled " Recent Advances in Swarm Intelligence Algorithms and Their Applications" of the MDPI journal Mathematics. These articles cover a wide range of topics related to swarm intelligence algorithms and their theories. The topics include improvements in algorithm mechanisms, fusion algorithms, multiobjective optimization, and the optimization of large-scale problems, as well as the application of swarm intelligence in various fields such as engineering optimization problems, vehicle swarm motion, viscoelastic Maxwell-type DVA, and deep learning. It is hoped that this reprint will be helpful for scholars engaged in the field of swarm intelligence and also suitable for researchers interested in staying updated with the latest advancements in swarm intelligence algorithms and their applications. Nowadays, swarm intelligence is closely intertwined with various aspects of life. This reprint aims to provide readers with an understanding of these developments and further expand the application boundaries of such algorithms.

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