Research on hybrid strategy Particle Swarm Optimization algorithm and its applications
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Research is being conducted on a hybrid strategy particle swarm optimization algorithm and its various applications. The algorithm is being combined with other optimization techniques, such as eagle strategy and grey wolf optimization, to solve complex problems in fields like engineering and medicine. The applications of this hybrid algorithm include stability and disturbance rejection in UAV systems, antenna array synthesis, breast cancer prediction, and optimization in engineering design.
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