ITERATIVE OPTIMIZATION ALGORITHMS FOR FILTER GENERATION IN OPTICAL CORRELATORS - A COMPARISON

被引：15

作者：

MAHLAB, U

SHAMIR, J

机构：

[1] Department of Electrical Engineering, Technicon Israel Institute of Technology, Technion City, Haifa

来源：

APPLIED OPTICS | 1992年 / 31卷 / 08期

关键词：

D O I：

10.1364/AO.31.001117

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

A general approach to the implementation of highly selective spatial filters for pattern recognition leads to a nonlinear optimization problem. Three optimization algorithms, hill climbing (direct search), simulated annealing, and the genetic algorithm, were investigated for implementation on hybrid electro-optical systems. Experimental results indicate the substantial superiority of the genetic algorithm in terms of operating speed and performance quality.

引用

页码：1117 / 1125

页数：9

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