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Recent Advances in Swarm Intelligence Algorithms and Their Applications

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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

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