Based on the initial value sensitivity of chaotic motion and the analysis of optimal searching process, a parallel adaptive chaotic optimization (PACO) method is proposed.
基于混沌运动的初值敏感性和对混沌优化搜索过程的分析,提出了并行自适应混沌优化方法。
On the basis of analysis of the process mechanism, the model for soft measurement of the dry-point of crude gasoline delayed coking is established by using PLS-RBFN parallel method.
在分析工艺机理的基础上,用PLS - RBFN并联方法建立延迟焦化粗汽油干点软测量模型。
PLS partitions the population into a group of disjoint subpopulations by cluster analysis, then USES simplex method to search local optima in each subpopulation in parallel.
PLS算子通过聚类分析将种群分割为互不相交的邻域子种群,对每一个子种群应用单纯形法进行并行局部搜索。
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