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hybrid chaos optimization
相关语句
  混合混沌优化
     A Hybrid Chaos Optimization Method and Its Application
     一种混合混沌优化方法及其应用
短句来源
     Hybrid chaos optimization algorithm for nonlinear programming problem
     混合混沌优化方法及其在非线性规划问题中的应用
短句来源
     Based on the analysis of the properties of progressive optimality algorithm(POA),tabu search(TS) and mutative scale chaos optimization algorithm(MSCOA),a hybrid chaos optimization algorithm was presented.
     结合逐次优化、禁忌搜索和变尺度混沌优化方法的优点,提出了一种混合混沌优化方法。
短句来源
  “hybrid chaos optimization”译为未确定词的双语例句
     SEISMIC WAVELET ESTIMATION USING HYBRID CHAOS OPTIMIZATION ALGORITHM
     基于综合的混沌优化算法估计地震子波
短句来源
     Hybrid chaos optimization algorithm for fuzzy neural network model and its applications
     模糊神经网络模型混沌混合优化学习算法及应用
短句来源
     Soft-sensor for the water content of dregs in rotary dryer kiln based on hybrid chaos optimization algorithm
     基于混沌混合优化的回转干燥窑出料含水量软测量
短句来源
     And a new global optimization approach, modified hybrid chaos optimization algorithm, is developed.
     并在对传统最优化方法进行改进的基础上,提出了一种具备全局收敛能力的最优化算法。
短句来源
  相似匹配句对
     Chaos-Based Optimization Design of Hybrid Controller
     基于混沌优化设计的一种复合控制器
短句来源
     A Hybrid Chaos Optimization Method and Its Application
     一种混合混沌优化方法及其应用
短句来源
     Hybrid synchronization of chaos and its application in secure communication
     混沌系统的混合同步及其在安全通信中的应用
短句来源
     Hybrid chaos optimization algorithm for nonlinear programming problem
     混合混沌优化方法及其在非线性规划问题中的应用
短句来源
     A new chaos BP hybrid learning algorithm
     一种新型的混沌BP混合学习算法
短句来源
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A hybrid chaos optimization algorithm is proposed that first carries on global search using the ergodicity, stochastic property and regularity of chaos. Then the local optimization search is done quickly using the mating operation of genetic algorithm. The model test results of seismic wavelet estimation show that the method is more efficient than that only use stochastic optimization algorithm.

作者从随机化全局搜索的思想出发 ,利用混沌运动具有的遍历性、随机性、规律性等特点进行大范围的全局优化搜索 ,再结合遗传算法的杂交算子和小邻域的局部搜索 ,从而提出了一种综合的混沌优化方法。通过对地震记录子波估计的理论模型试验 ,结果表明这种混沌的优化算法比单一的随机优化方法具有很好的实际效果和应用前景。

The chaos optimization algorithms in the published papers were almost based on Logistic map. However, the probability density function of chaotic sequence for Logistic map is Chebyshev-type function, which maybe affect the global searching capacity and computational efficiency of chaos optimization algorithm severely. Considering the statistical property of chaotic sequence of Logistic map, the improved hybrid chaos-BFGS optimization algorithm is presented in this paper by eliminating the bad design points during...

The chaos optimization algorithms in the published papers were almost based on Logistic map. However, the probability density function of chaotic sequence for Logistic map is Chebyshev-type function, which maybe affect the global searching capacity and computational efficiency of chaos optimization algorithm severely. Considering the statistical property of chaotic sequence of Logistic map, the improved hybrid chaos-BFGS optimization algorithm is presented in this paper by eliminating the bad design points during the chaos searching. Since the probability density function of chaotic sequence for Kent map is the uniform function on interval (0,1), the hybrid chaos optimization-BFGS algorithm is established on basis of Kent map. Five nonlinear functions (three low-dimensional and two high-dimensional functions) are employed to test the performance and efficiency of five hybrid optimization algorithms, which are improved Logistic map based chaos-BFGS algorithm, Kent map based chaos-BFGS algorithm, unimproved Logistic map based chaos-BFGS algorithm, Monte Carlo-BFGS algorithm, and mesh-BFGS algorithm. The global optimization performance of these algorithms is compared, and the performance discrepancy of optimization algorithms is discussed. It is concluded that the chaos optimization algorithm is one kind of stochastic method similar to Monte Carlo method, and the computational performance of hybrid optimization algorithms is affected by the following factors: the statistical property of chaotic/stochastic sequences generated from optimization algorithms, and the position of global optimum of nonlinear functions.

已有的混沌优化方法几乎都是利用Logistic映射作为混沌序列发生器,而Logistic映射产生的混沌序列的概率密度函数服从两头多、中间少的切比雪夫型分布,不利于搜索的效率和能力。为此,首先根据Logistic映射混沌轨道点密度函数的特点,建立改进的混沌-BFGS混合优化算法。之后,考虑到Kent映射混沌轨道点密度为均匀分布,建立了基于Kent映射的混沌-BFGS混合优化算法。然后对五种混合优化方法——不加改进的和改进的基于Logistic映射的混沌-BFGS法,基于Kent映射的混沌-BFGS法,MonteCarlo试验-BFGS法,网格-BFGS法进行了研究,分别对3个低维和2个高维非线性复杂测试函数进行优化计算,对它们的全局优化计算效率和寻优能力做了比较,并探讨了混合优化方法全局优化性能差异的原因。结果表明,混沌优化方法是与MonteCarlo方法类似的一种随机性试验优化方法。而且,这类优化方法的计算性能至少与以下因素有关:混沌/随机序列的统计性质,优化问题全局最优点位置。

Based on the analysis of the properties of progressive optimality algorithm(POA),tabu search(TS) and mutative scale chaos optimization algorithm(MSCOA),a hybrid chaos optimization algorithm was presented. The algorithm has not only the implicit parallelism,global convergence of POA and the intelligence of tabu search,but also the fast convergence of MSCOA. The simulation results show that the algorithm,which has characters of simple,optimization efficiency and strong robustness etc. is a powerful...

Based on the analysis of the properties of progressive optimality algorithm(POA),tabu search(TS) and mutative scale chaos optimization algorithm(MSCOA),a hybrid chaos optimization algorithm was presented. The algorithm has not only the implicit parallelism,global convergence of POA and the intelligence of tabu search,but also the fast convergence of MSCOA. The simulation results show that the algorithm,which has characters of simple,optimization efficiency and strong robustness etc. is a powerful technique to solve larger-scale nonlinear programming problems.

结合逐次优化、禁忌搜索和变尺度混沌优化方法的优点,提出了一种混合混沌优化方法。该方法具有逐次优化算法的隐性并行性和收敛性,禁忌搜索的智能性和变尺度混沌优化方法的快速性。仿真计算表明,该方法具有实现简单,优化效率高,鲁棒性强等特点。

 
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