Displacement Estimation by 2-D Genetic Optimizer(GO) Algorithm for Image Sequence Coding 序列图象编码中位移估值新算法&二维遗传优化算法
With the developing of electromagnetics computer-aided design tools, optimizing the design of antennas using evolution algorithms, such as genetic algorithms, is a focus. A plug-in optimizer based on Python programming and HFSS simulation software for antenna optimization is presented in this thesis. 随着电磁学计算机辅助设计技术的发展,通过遗传算法等演化算法来进行天线优化是当前研究热点。本文提出了一种Python程序结合HFSS仿真软件用于天线优化的外挂优化器。
Then a new technology, combined with genetic algorithms, is presented based on particle swarm optimizer, including particle coding, population initializing, fitness computing and position updating. 给出一种基于粒子群算法的混合优化关联规则挖掘技术,包括粒子的编码,群体的初始化,适应度的计算以及位置的更新。