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于 2010-11-03 发布文件大小:14KB

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代码说明：

说明：利用最小熵法球时间延迟，可以用在TDOA定位中(The ball by the time delay of minimum entropy method can be used in TDOA positioning)

文件列表：

最小熵
......\gaosi.m,651,2010-11-03
......\gauss.asv,1234,2010-11-01
......\gauss.m,1234,2010-11-01
......\untitled.fig,1315,2010-11-01
......\Untitled.m,1826,2010-10-28
......\Untitled2.asv,691,2010-11-01
......\Untitled2.m,704,2010-11-01
......\Untitled3.asv,1292,2010-11-02
......\Untitled3.m,1292,2010-11-02
......\Untitled34.asv,1111,2010-11-02
......\Untitled34.m,1122,2010-11-02
......\最小熵.fig,6683,2010-11-01

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积分：1
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Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a study on its performance using four nonlinear functions adopted as a benchmark by many researchers in this area [14]. In PSO, each particle moves in the search space with a velocity according to its own previous best solution and its group’s previous best solution. The dimension of the search space can be any positive integer.

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积分：1

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