simulated annealing algorithms的意思|示意
模拟退火算法
simulated annealing algorithms的网络常见释义
模拟退火算法 ...lgorithms)·改进法 ( improvement algorithms遗传算法 ( genetic algorithms)、模拟退火算法 ( simulated annealing algorithms)·约束求解算法 ( constraint- based algorithms)此外 ,还有神经网络法、并行算法 ,基于知识的求解方法 .
simulated annealing algorithms相关短语
1、 fast simulated annealing algorithms 快速模拟退火算法
2、 genetic simulated annealing algorithms 遗传
3、 genetic and simulated annealing algorithms 遗传模拟退火算法
simulated annealing algorithms相关例句
It is more suitable than simulated annealing and genetic algorithms for solving the problem that presents many local minima. Experimental results show the method is efficient.
本算法比遗传算法和模拟退火算法更适合于解决具有很多局部最小值的冗余传感器系统费用优化的问题,仿真实验结果表明本算法是很有效的。
This paper analyzes a few optimization algorithms appeared in recent years as simulated annealing, heritage algorithm and chemotaxis algorithm.
本文分析了近年来出现的一些优化算法,如模拟退火法、遗传算法和趋化性算法等的特点。
Hence, we combined the simulated annealing and genetic algorithms and the simulated annealing genetic algorithms was proposed.
将遗传算法与模拟退火算法相结合,提出了模拟退火遗传算法。
Thirdly, based on simulating the elastic objects movement, two heuristic algorithms are presented by using the idea of the simulated annealing algorithm.
第三,在模拟物理世界中弹性物体运动的基础上,借鉴模拟退火法的思想,得出了二个启发式方法。
Regarding of the characters of this class of problems and the disadvantages of the existing simulated annealing algorithms, we propose an improved simulated annealing algorithm.
针对这类问题和现有连续函数模拟退火算法的某些不足,本文给出了一类改进的模拟退火算法。
On the condition of sample calculation mechanical model, Genetic simulated Annealing Algorithms method's calculation results of all more superiority than the calculation results of Genetic Algorithms.
在计算力学模型相同的条件下,遗传—模拟退火算法的计算结果基本不会大于遗传算法的计算结果。