抄録
Pin probe inspection methods have been widely used in printed circuit
board electrical inspection. Due to the miniaturization of electronic devices, the positioning
of inspection jig (called probe jig) is very important for precisely conducting
pattern tests of wiring on PCBs. This article newly presents a mathematical programming
approach to the optimal position correction of a probe jig. The optimal position
correction problem is formulated based on nonlinear programming problem. Several
nature-inspired algorithms, such as firefly algorithm (FA), bat algorithm (BA), cuckoo
search (CS) and flower pollination algorithm (FPA), are developed for obtaining optimal
position correction. The position correction of a probe jig is attained through
interactive processes between an operator and the system. The performances of the integrated
bio-inspired algorithms are compared. It is shown that the FPA is best among
four nature-inspired algorithms for correcting a probe jig position in PCB inspection.
