Complicated Pseudo Parallel Genetic Algorithm for Optimization Design

This paper focuses on how to improve the performance of Genetic Algorithm (GA). Considering operators´ importance, two creative intelligent parameters were built to evaluate and control the evolution calculation process. Meanwhile Pseudo calculation has been discussed and integrated into the classical GA. At last, simulation calculations with testing function have been given. It has been clearly shown that, adopting this calculation system, its performances have been boosted and this should be generally applicable to practical engineering.