Optimization Algorithm for Model-Based Optical Proximity Correction
优化的基于模型的光学邻近矫正算

The optimization algorithm considering the surrounding feature influences is presented.The algorithm implements the single loop optimization for the target feature and the dual loop optimization between the target features and the surrounding features by using the self adaptive step cutting and moving strategy.The experiments show that this algorithm can achieve much improvement in correction precision and efficiency.