启发式随机搜索策略和局部优化算法相结合的求解方案是解决复杂函数优化的有效途径。
Combining a heuristic random searching strategy with local optimal algorithms is effective solution for complex optimization problem.
针对水域污染监测数据融合系统中存在的困难，讨论了基于“连接”模型的局部优化算法及其应用。
Aiming at the difficulties existing in large-scale water pollution monitoring systems, a connectionist model based local optimization algorithm and its application are discussed in this paper.
该算法的基本思路是边构造边调整路径，在调整中采用了独创的逆向调整方法，避免算法陷入局部优化陷阱。
During adjustment process, a creative method named reverse adjustment was adopted, to prevent the algorithm from being got in local optimization trap.
基于混沌序列的多峰函数微粒群寻优算法的目标就是找到多峰函数的所有局部优化峰值。
It makes a searching for all local optimization of the multimodal function that a PSO algorithm based on chaos sequence for multi-modal function optimization.
以仿真计算获得局部优化规律，用神经网络实现局部优化规律的数据组织，应用遗传算法进行全局优化计算，获得了令人满意的结果。
To generate the velocity schema curve of optimization operation for train, a computation model combined local optimization with global optimization is proposed.
计算结果表明，该算法在避免陷入局部优化和提高微调能力方面有着良好的效果。
Thecalculated result shows the algorithm can avoid emerging premature convergence and improves the ability of local tuning.
我们也建议用混合版本的粒子群算法嵌入局部优化，提高了性能。
We also propose to use a hybrid version of PSO embedding a local optimizer to enhance the performance.
为此，我们面向高频度故障，提出了一个基于原测试流程的局部优化方法，并且还提出了一个以减少诊断所需探针操作次数为目标的启发式故障诊断算法。
In this paper, a local-optimization method oriented to frequently occurring faults is presented. A heuristic fault diagnosis algorithm with fewer probing operations is also discussed.
采用GENIUS算法处理其中的TSP问题，不仅能产生较好的解，而且通过对解的周期性的扰动，进一步减少求解陷于局部优化的可能性。
GENIUS algorithm is used to solve TSP problem in this algorithm. Through this processing, not only better solution can be got, but also the likelihood of local optimal be reduced by perturbing sol...
采用GENIUS算法处理其中的TSP问题，不仅能产生较好的解，而且通过对解的周期性的扰动，进一步减少求解陷于局部优化的可能性。
GENIUS algorithm is used to solve TSP problem in this algorithm. Through this processing, not only better solution can be got, but also the likelihood of local optimal be reduced by perturbing sol...
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