多峰值函数的极值问题一直是优化领域中的一个难点和热点。
Extremum problem of multimodal functions is a difficult issue in optimization fields.
多峰值函数优化结果表明，该算法能更有效地达到全局最优解。
The optimization result of multi-peak value function shows that the algorithm introduced can converge to the globally optimal solution effectively.
图像与模板的相关值是一多峰值函数，模板匹配实质上是多峰值寻优过程。
The correlation value of an image and its template was a multimodal function, so template matching can be seen as.
多峰值函数优化结果表明，该算法可以有效地解决早熟收敛问题，更易达到全局最优解。
The optimization result of multi-peak value function shows that the algorithm presented can solve premature convergence problem effectively and converge to the globally optimal solution.
在分析多峰值函数优化问题的基础上，提出了一种基于进化计算的飞行器多航迹规划方法。
Based on the analysis of multi-modal function optimization using evolutionary computation, a new multiple routes planner for unmanned air vehicles is proposed.
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.
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.
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