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- asc PARTICLE SWARM OPTIMIZER IN NOISY AND CONTINUOUSLY CHANGING ENVIRONMENTS ABSTRACT In this paper we study the performance of the recently proposed Particle Swarm optimization method in the presence of noisy and continuously changing environments. Experimental results for well known and widely used optimization test functions are given and discussed. Conclusions for its ability to cope with such environments as well as real– life applications are also derived.
文件名称:mie-ih21
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实现了图像的加水印，去噪，加噪声等功能，分数阶傅里叶变换计算方面,线性调频脉冲压缩的Matlab程序。- Realize image watermarking, de-noising, plus noise and other functions, Fractional Fourier transform computing, LFM pulse compression of the Matlab program.
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