Hybrid TRIZ and Bio-Inspired Algorithms for Solving NP Hard Problems

Concepts of the bio-inspired and TRIZ-inspired algorithms have been applied to solve NP hard optimization problems in the Industry, medicine, computers, etc. This study uses bio-inspired and TRIZ- inspired algorithms in the component inspection and sequence problems in printed circuit board (PCB) industry. We used bio-inspired and TRIZ-inspired algorithm concepts to find place of component from image of PCB. The sequence of component placements on the PCB and the assignment of component types to feeders were optimized.

کلیدواژه ها:

TRIZ-inspired algorithm ، component inspection ، evolutionary algorithms ، PCB