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• W2895133066 abstract "A hybrid model, combining the Division Pigeon-inspired Optimization (DPIO) with a novel target detection method which is based on K-means and Edge Potential Function (K-EPF), is proposed in this paper. In K-EPF, K-mean is used to segment the image into two parts, which is helpful to enhance the efficiency of shape-matching. Basic PIO algorithm is prone to falls into local optima. In DPIO algorithm, this problem is solved by the multi-population mechanism and the landmark operator based on elite list. It effectively improves the optimization performance and convergence speed of the algorithm. In order to prove the superiority of DPIO, a series of algorithm is utilized in our comparative experiments, including particle swarm optimization (PSO), and standard genetic algorithm (GA)." @default.
• W2895133066 created "2018-10-12" @default.
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• W2895133066 date "2018-01-01" @default.
• W2895133066 modified "2023-09-27" @default.
• W2895133066 title "A Hybrid Model Based on K-EPF and DPIO for UAVs Target Detection" @default.
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• W2895133066 doi "https://doi.org/10.1007/978-981-13-2829-9_29" @default.
• W2895133066 hasPublicationYear "2018" @default.
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