Application of lmmunogenetic algorithm optimization in intersection signal timing 免疫遺傳算法在交叉口信號配時優化中的應用
Genetic algorithm optimization based nonlinear ridge regression modeling method and its application in soft measurement 優化的非線性嶺回歸方法及其在軟測量中的應用
This dissertation mainly focuses on the jpeg decoding algorithm optimization and its realization in the embed system , shows the core of software realization 文中主要就多處理器嵌入式系統環境下jpeg解碼算法的優化和實現作為重點,展示了軟件實現的核心。
_ _ _ _ uncertain factors of macroscale inversion analysis of displacements are summed up . associated inversion model containing non - deterministic factors is proposed , i . e . " deterministic inversion of differential equation + systematic optimization technique = non - deterministic inversion " . the systematic optimization technique includes direct operator optimization , direct numerical analysis optimization , measurement design optimization , measured data processing , in - ersion algorithm optimization , and inverse operator regularization , etc . when this associated inversion technique is used in displacements back analysis , uncertain factors can be processed quantitatively 歸納了宏觀尺度位移反演分析的不確定性因素,提出了容納不確定性因素的位移反演分析的聯合反演模式,即“微分方程確定性反演+系統性優化技術=非確定性反演”的模式,并具體論述了聯合反演模式的系統性優化技術,包括正演算子的優化、正演數值分析的優化、測量設計優化、觀測數據處理、反演算法優化、反演算子處理等六個優化方法。
This algorithm easily escapes from local optimal solution , have high searching efficiency , simple structure , convenient use . aiming at iteration , optimization and matlab optimization toolbox having low precision and difficulty to choose initial vector on acquiring nonlinear equations ’ solutions , equations ’ solution problem is translated into genetic algorithm optimization problem . nonlinear equations ’ usual genetic 針對迭代法、最優法、 matlab最優化工具箱求解非線性方程組中存在求解精度不高及初始矢量難選等問題,將方程組求解問題轉化為遺傳算法函數優化問題,建立了非線性方程組通用的遺傳算法解法,并將其用于汽車滑行試驗數據處理中。