Parallel genetic algorithm based on learning mechanism
Xiyu Liu · Jisuanji gongcheng · 2005
Based on the concept of biotic community in Biology, a 3-layer model named community-population-individual was proposed. Meanwhile, a parallel genetic algorithm based on learning mechanism (PGABL) was developed on this model. As the data structure for collaborations between subpopulations, the Blackboard model was introduced. And three learning operators are designed, through which PGABL combines the advantages of genetic evolution and genetic learning that improves the performance of traditional genetic algorithm effectively. Experimental results show that PGABL is of good adaptability and stability.