Grammatical evolution based nonlinear data automatic fitting bee colony algorithm
Chen Jia · Jisuanji yingyong yanjiu · 2013
This paper introduced grammatical evolution into bee colony algorithm,and proposed a new nonlinear data automatic fitting bee colony algorithm BCGE,which was based on multiple functions defined in context free grammar,and presented speedup method for BCGE by using gene truncation and supplement and utilizing domain knowledge. This grammatical evolution based BCGE was much more concise than the genetic planning based algorithms,and it needed far less memory for storing genotypes than the genetic planning based algorithms do for storing syntax trees. The experimental results on 5 test functions indicate that BCGE can effectively fit very complicated nonlinear data.