An optoelectronic neural network is presented that is designed to solve the assignment problem—or any similar optimization task given minimal adjustment—in both crossbar and banyan packet switches. We examine the design decisions made at the hardware, software, and algorithmic levels and indicate the associated effect on the system as a whole. Clearly detailed experimental results show the system’s robustness and performance due to the particular optoelectronic-algorithm combination used. The integration and packaging of such a system are also briefly discussed.
© 2004 Optical Society of America
Original Manuscript: June 13, 2003
Revised Manuscript: September 23, 2003
Published: February 1, 2004
Keith J. Symington, Yves Randle, Andrew J. Waddie, Mohammed R. Taghizadeh, and John F. Snowdon, "Programmable optoelectronic neural network for optimization," Appl. Opt. 43, 866-876 (2004)