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gaoyanyan3银虫 (正式写手)
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[求助]
一段话，帮忙翻译成英语，非常感谢！
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结合标准算法可知，a和b分别作为收敛于局部最优和全局最优的两个加速因子，不仅会影响算法的收敛速度，同时，也可能会影响“早熟”现象的发生，我们知道在其作用过程中如果初期对局部有较大的收敛速度，对全局有较小的收敛速度，在末期对局部有较小的收敛速度，对全局有较大的收敛速度，且整体收敛速度递减，则能够有效避免“早熟”情况的发生。 依据粒子与最优位置的接近程度，判定粒子所处时期，初期粒子与最优位置相距较远，末期粒子与最优位置相距较近，我们可使用误差函数确定粒子与全局最优位置的接近程度，依据接近程度选择相应的加速因子，粒子越接近，其加速因子应越小。 |
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sltmac: 金币+1, 感谢应助，欢迎常来 2012-10-10 08:52:32
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Combined with standard algorithm, it is known that a and b as convergence in local optimum and global optimal two accelerating factor, will not only affect the algorithm convergence speed, and at the same time, also may affect "premature" phenomenon occurs, we know that in its role in the process of the early if to local have greater convergence speed for global have smaller convergence speed, in the end to local have smaller convergence speed for global have greater convergence speed and global convergence speed decreasing, it can effectively avoid the "early" the happening of the circumstance. According to the particles and optimal position close degree, decision particle are at a stage, initial particles and optimal position far apart, the end particles and optimal position closer apart, we can use error function determine particle and global optimal position close degree, according to the degree of close to select the accelerating factor, particle more close, the accelerating factor should be smaller. |
2楼2012-10-10 00:39:18
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sltmac: 金币+1, 感谢应助，欢迎常来 2012-10-10 08:52:38
gaoyanyan3: 金币+5 2012-10-10 16:21:31
sltmac: 金币+1, 感谢应助，欢迎常来 2012-10-10 08:52:38
gaoyanyan3: 金币+5 2012-10-10 16:21:31
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Combined with standard algorithm, it is known that a and b as convergence in local optimum and global optimal two accelerating factor, will not only affect the algorithm convergence speed, and at the same time, also may affect "premature" phenomenon occurs, we know that in its role in the process of the early if to local have greater convergence speed for global have smaller convergence speed, in the end to local have smaller convergence speed for global have greater convergence speed and global convergence speed decreasing, it can effectively avoid the "early" the happening of the circumstance. According to the particles and optimal position close degree, decision particle are at a stage, initial particles and optimal position far apart, the end particles and optimal position closer apart, we can use error function determine particle and global optimal position close degree, according to the degree of close to select the accelerating factor, particle more close, the accelerating factor should be smaller. |
3楼2012-10-10 01:05:08
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sltmac: 金币+1, 感谢应助，欢迎常来 2012-10-10 08:52:44
gaoyanyan3: 金币+5 2012-10-10 16:21:34
sltmac: 金币+1, 感谢应助，欢迎常来 2012-10-10 08:52:44
gaoyanyan3: 金币+5 2012-10-10 16:21:34
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Combined with standard algorithm, it is known that a and b as convergence in local optimum and global optimal two accelerating factor, will not only affect the algorithm convergence speed, and at the same time, also may affect "premature" phenomenon occurs, we know that in its role in the process of the early if to local have greater convergence speed for global have smaller convergence speed, in the end to local have smaller convergence speed for global have greater convergence speed and global convergence speed decreasing, it can effectively avoid the "early" the happening of the circumstance. According to the particles and optimal position close degree, decision particle are at a stage, initial particles and optimal position far apart, the end particles and optimal position closer apart, we can use error function determine particle and global optimal position close degree, according to the degree of close to select the accelerating factor, particle more close, the accelerating factor should be smaller. |
4楼2012-10-10 08:33:15