A Heuristic Genetic Algorithm-Based Optimization Method for Ink Volume Uniformity of Inkjet-Printed OLED Pixels

Inkjet printing is considered a promising technology for the mass production of display panels. However, a primary challenge in its application is the pixel-level ink volume non-uniformity caused by droplet volume errors from multi-nozzle ejection, which leads to inconsistent film thickness and Mura defects in display panels. To address this issue, this study proposes an Inkjet Printing-oriented Heuristic Genetic Algorithm (IPHGA), realizing pixel-level ink volume homogenization control for multi-nozzle collaborative ejection through a specialized gene encoding strategy and the reconstruction of crossover and mutation operators into heuristic strategies. Experimental comparisons with multiple swarm intelligence algorithms demonstrate that IPHGA outperforms counterparts in ink volume uniformity, verifying its effectiveness in practical ejection planning scenarios.