Discover formulas based on GEP with trans-gene
基于转基因GEP 的公式发现

When mining knowledge by traditional Gene Expression Programming (GEP), users hardly control the process, quality and speed of evolution. To solve this problem, the authors borrow the idea of Transgene from modern biology, import it into formulas mining based on GEP, and get series of results. This article surveys the achievements in Gene Expression Programming with transgene, including gene injection techniques, process for trans-gene, evolution intervene, etc. By fusing natural and manual selection, during evolution process, user can guide the evolution towards expected direction.