"Pattern Inter-Domain Mapping Variation" Methodology and Application

Taking the original intelligence optimization algorithm "plant growth simulation algorithm" (PGSA) " as a direct application, we propose the "pattern inter-domain mapping variation" methodology to knowledge innovation. We compare PGSA with genetic algorithm (GA) on distribution center location problem, and the result proves PGSA is superior to GA on accuracy. Analysis on theory PGSA and its application innovation represents that this methodology can be a guide and reference to knowledge innovation in some degree.