同时,为适应实际搜索过程中的复杂非线性情况,采用非线性变化的惯性权重递减方式,使得在搜索初期迭代次数 较小时, 接近最大值,且 的递减速率较的英语翻译

同时,为适应实际搜索过程中的复杂非线性情况,采用非线性变化的惯性权重递

同时,为适应实际搜索过程中的复杂非线性情况,采用非线性变化的惯性权重递减方式,使得在搜索初期迭代次数 较小时, 接近最大值,且 的递减速率较慢,以保持较强的全局搜索能力;在搜索后期迭代次数 逐渐增大, 呈非线性递减且递减速率加快,使粒子的搜索空间压缩到最优解的邻域范围内,增强其局部搜索能力。改进后的自适应惯性权重计算公式如下:
0/5000
源语言: -
目标语言: -
结果 (英语) 1: [复制]
复制成功!
At the same time, in order to adapt to the complex nonlinear situation in the actual search process, the non-linear change of the inertial weight decrement method is adopted, so that when the number of iterations in the initial search period is small, it is close to the maximum, and the deceleration rate is slower to maintain a strong overall situation. Search ability: In the later stage of the search, the number of iterations gradually increases, showing a non-linear decline and a faster deceleration rate, so that the search space of the particle is compressed to the neighborhood of the optimal solution, and its local search ability is enhanced. The improved adaptive inertia weight calculation formula is as follows:
正在翻译中..
结果 (英语) 2:[复制]
复制成功!
At the same time, in order to adapt to the complex nonlinear situation in the actual search process, the inertia weight decreasing method of nonlinear change is adopted, so that the number of iterations in the initial search is small, close to the maximum value, and the deceleration rate of is slow, so as to maintain a strong global search ability; In the later stage of the search, the number of iterations gradually increases, decreases nonlinearly, and the deceleration rate accelerates, which compresses the particle search space to the neighborhood of the optimal solution and enhances its local search ability. The improved adaptive inertia weight calculation formula is as follows:<br>
正在翻译中..
结果 (英语) 3:[复制]
复制成功!
At the same time, in order to adapt to the complex non-linear situation in the actual search process, the inertia weight decreasing method of non-linear change is adopted, which makes the initial iteration times close to the maximum, and the decreasing rate is slow, so as to maintain a strong global search capability; In the later stage of the search, the number of iterations gradually increases, showing a non-linear decrease and the decreasing rate is accelerated, so that the search space of particles is compressed into the neighborhood of the optimal solution and its local search ability is enhanced. The improved adaptive inertia weight calculation formula is as follows:
正在翻译中..
 
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