1) Multimodel function
多峰性函数
2) multimodal function
多峰函数
1.
Particle swarm optimization (PSO) algorithm is easy to be trapped into local minima and has low searching efficiency in optimizing multimodal function.
在每个小生境中对粒子的速度位置进行更新,从而改变小生境的中心和半径,直到满足迭代次数,从而保持了微粒群的多样性,通过一个经典函数进行仿真表明,这种把粒子群和小生境结合起来的算法,能快速有效地找到多峰函数的全局最优点。
2.
A niche genetic algorithm based on the mechanism of eliminating the similar structures was studied,as it is hard to find all the optimum solutions when using simple genetic algorithm to solve multimodal functions.
针对基本遗传算法在求解多峰函数时很难找到全部最优解的问题,研究了基于淘汰相似结构机制的小生境遗传算法。
3.
The traditional evolutionary algorithm with a fixed size population is not suitable especially for solving multimodal function optimization because it s impossible to know the number of solution in advance and hence it s difficult to specify a suitable size of population.
指出了现有的演化算法框架都是群体固定的演化迭代过程 ,对求解多峰函数优化问题时由于无法事先得知峰值点的个数而很难确定合适的群体大小 ,影响了算法的效率 。
3) multi-modal function
多峰函数
1.
A mixed evolutionary algorithm consisting of global and local search to solve multi-modal function optimization problem;
一种求解多峰函数优化问题的全局与局部搜索相结合的演化算法(英文)
2.
It is proved that this proposed algorithm outperforms the two algorithms proviously referenced and has better results for multi-modal functions in particular.
该算法比上述两种算法具有更好的性能,特别是对多峰函数优化等问题计算效果更好。
3.
In solving complex reality optimization problems, we often meet function optimization problem with many extreme values, namely multi-modal function optimization problem.
在解决复杂的实际优化问题时,经常会遇到具有多个极值的函数优化问题,这类问题被称为多峰函数的优化问题。
4) multi-peak function
多峰函数
1.
Aimed at the difficulty in optimizing multi-peak function including constraints,a fixed genetic algorithm is proposed to solve the above optimization problem based on traditional optimization algorithm and conventional genetic algorithm.
针对目前求解含约束条件多峰函数全局优化问题存在的困难,结合传统优化算法和常规遗传算法,提出一种寻求含约束条件多峰函数全局最优解的混合遗传算法。
5) multi-modal function
多峰值函数
1.
This algorithm is used to the application of multi-modal function optimization.
将该算法用于对多峰值函数的寻优,能得到很好的结果;借用遗传算法的积木块假设对该算法的收敛性进行分析,证明了本算法在满足一定前提条件下,能够以趋近于1的概率收敛。
2.
system,multi-modal function optimization algorithm based on artificial immune network is presented and is applied to some typical test functions in this paper.
针对多峰值函数优化中常规方法难以同时搜索出多个极值的问题,借鉴生物免疫系统的相关机理,提出了基于人工免疫网络的多峰值函数优化算法,并在一些典型的测试函数上进行性能测试。
3.
Immune Algorithm is a new optimization algorithm imitating the immune system to solve the multi-modal function optimization problem.
免疫算法是在免疫系统识别多样性的启发下所设计出的一种新的多峰值函数的寻优算法。
6) multimodal function
多峰值函数
1.
Extremum problem of multimodal functions is a difficult issue in optimization fields.
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。
2.
The correlation value of an image and its template was a multimodal function, so template matching can be seen as.
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。
3.
On the basis of biology immune principles,a novel optimization algorithm is proposed for solving many optimal solutions to multimodal function.
受生物免疫系统相关原理的启发,提出一种基于免疫原理的优化方法,用于求解多峰值函数的多个优化解。
补充资料：连续性与非连续性(见间断性与不间断性)
连续性与非连续性(见间断性与不间断性)
continuity and discontinuity
11an父ux泊g四f“山。麻以角g、.连续性与非连续性(c。nt，n琳t:nuity一)_见间断性与不间断性。and diseo红ti-
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条