title: Iterative optimization algorithms for filter generation in optical correlators: a comparison.
abstract: 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.
authors: U
authors: U
authors: Mahlab
authors: J
authors: J
authors: Shamir