将该方法用于多用户检测问题的实验结果表明，采用这种混合算法训练的RBF网络结构精简，具有很好的抗多址干扰的性能。
The application of the algorithm in multiuser detection problems demonstrates that the RBF network trained with the algorithm is concise in structure and has good anti-MAI performance.
针对一类不可微优化问题，本文提出了一个新的算法—极大熵微粒群混合算法。
To solve a class of non-differentiable optimization problems, this paper proposed a new method called maximum-entropy particles swarm optimization algorithm.
提出的混合算法克服了使用线性搜索方法难以确定初始解的问题，在同等计算精度和耗时情况下，该方法求解成功率较高。
The proposed algorithm overcomes the difficulty in choosing initial value for line search method, with higher success rate under the same calculation accuracy.
通过算例结果比较，表明该混合算法是一种解决供电企业拉闸限电序位优化问题的有效方法。
Swarm intelligence is used to solution the question for Electricity Power Limitation of Sequence Optimization, and show a good performance.
本文提出了以启发式方法和模拟退火算法相结合的混合算法，可用于带性能约束的布局优化设计问题。
A hybrid algorithm combined heuristic method and simulated annealing was presented in this paper for layout optimization with Performance constraints.
针对卡尔曼滤波器对系统模型依赖性强、鲁棒性差和跟踪机动目标能力有限的问题，提出了一种新的利用混合模糊逻辑和标准卡尔曼滤波器的联合算法。
The Kalman filter has been commonly used in target tracking, however its performance may be degraded in presence of maneuver, low robustness and strong model dependence.
本文提出一个求解约束工程设计问题的新的混合算法—与可行基规则相结合的局部收缩微粒群算法。
This paper the hybrid local constriction particle swarm optimization (HLPSO) with a feasibility-based rule is proposed to solve constrained engineering design problems.
本文提出一个求解约束工程设计问题的新的混合算法—与可行基规则相结合的局部收缩微粒群算法。
This paper the hybrid local constriction particle swarm optimization (HLPSO) with a feasibility-based rule is proposed to solve constrained engineering design problems.
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