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.
© 1992 Optical Society of America
Original Manuscript: February 12, 1991
Published: March 10, 1992
Uri Mahlab and Joseph Shamir, "Iterative optimization algorithms for filter generation in optical correlators: a comparison," Appl. Opt. 31, 1117-1125 (1992)