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Recent Advances in Swarm Intelligence Algorithms and Their Applications
Jian Dong (editor)
2023
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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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Keywords
- AEC system
- ant colony optimisation
- antenna array
- approximation
- array element position error compensation
- attack and defense
- bat algorithm
- benchmark test functions
- bi-level optimization
- capacitor banks
- cavity morphology recognition
- chaotic mapping
- chaotic maps
- chaotic-based PPE algorithm
- cognitive relay network
- Combinatorial optimization
- Computer science
- Computing & information technology
- Deep Learning (DL)
- deficiency number
- DG optimal allocation
- differential evolution
- dynamic vibration absorber
- economic load dispatch
- Economics, finance, business & management
- electricity market
- elite opposition-based learning
- Energy harvesting
- engineering design problems
- experimental comparison
- few-shot learning (FSL)
- FPGA
- Gaussian walk learning
- global optimization problems
- graph convolutional network
- grey wolf optimisation
- grey wolf optimization
- ground-penetrating radar (GPR)
- Harris Hawk Optimization
- Harris hawks optimization
- HBA
- high-dimensional solution space
- hybrid strategy
- Industry & industrial studies
- inerter
- Information technology industries
- interval outranking
- large-scale agents
- Lévy flight strategy
- LMS
- Machine learning
- Mahjong
- Maxwell-type
- Media, information & communication industries
- meta-heuristic
- meta-heuristic algorithm
- metaheuristic algorithms
- moth-flame optimization
- multi layered neural network
- multi-agent reinforcement learning
- Multi-Criteria Decision Analysis
- multi-population mean-field game
- multimodal optimization
- multiple optima
- n/a
- Natural Language Processing
- near-field beamforming
- negative stiffness
- neural networks
- neuromorphic architecture
- niching
- NOMA
- nonlinear weight
- oppositional-based learning
- oppositional-based pigeon-inspired optimizer
- optimal bidding
- optimization
- parameter tuning
- particle swarm optimization algorithm
- partition-based random search
- piecewise linearization
- pigeon-inspired optimizer
- Population diversity
- population play
- power loss
- preference incorporation
- premature convergence
- radial distribution systems
- real world application
- reinforcement learning
- relation extraction
- relation network (RelationNet)
- self play
- sensitivity analysis
- Sobol sequence
- spatial area division
- spiking neural P system
- strategic bidding
- Swarm intelligence
- Swarm intelligence algorithm
- swarm intelligence algorithms
- thema EDItEUR::U Computing and Information Technology::UY Computer science
- tunicate swarm algorithm
- unmanned aerial vehicle swarm
- voltage deviation
- whale optimization algorithm
Links
DOI: 10.3390/books978-3-0365-8255-9Editions