Gene Expression Programming Based on Parallel Tabu Search for Improving Model Accuracy
Xue Dong Zhang, Jing Li · Applied Mechanics and Materials · 2013
To improve model accuracy,tabu search is introduced to Gene Expression Programming (GEP) and impoves GEPs local search ability, Gene Expression Programming Based on Parallel Tabu Search (PTS-GEP) is proposed. In PTS-GEP, the research conducts experiment over the data from previously reported research and compares the result to two other algorithms namely simple GEP, UC-GEP. The results demonstrate the optimal performance of PTS-GEP in model accuracy.