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HDN-GEP: A Novel Gene Expression Programming with High Density Node

2008 International Conference on Intelligent Computation Technology and Automation (ICICTA), 2008
Gene expression programming (GEP) is a new member of evolutionary computation family, and is successful in symbolic regression and function finding in the field of data mining. However, GEP is difficult to find power functions with high ranks. To tackle this problem, this study proposes a novel GEP algorithm named HDN-GEP.
Ning Yang, Chuan Li, Changjie Tang
exaly   +2 more sources

Gene expression programming (GEP) based intelligent model for high performance concrete comprehensive strength analysis

Journal of Intelligent & Fuzzy Systems, 2018
Strength of high performance concrete (HPC) is not depends upon water to cement ration only but it is also persuaded by the several components of the concrete.
Syed Saad, H. Malik
semanticscholar   +2 more sources

AB-GEP: Adversarial bandit gene expression programming for symbolic regression

Swarm and Evolutionary Computation, 2022
Qiang Lu, Zhiguang Wang, Jake Luo
exaly   +2 more sources

GEP-NFM: Nested Function Mining Based on Gene Expression Programming

2008 Fourth International Conference on Natural Computation, 2008
Mining the interesting functions from the large scale data sets is an important task in KDD. Traditional gene expression programming (GEP) is a useful tool to discover functions. However, it cannot mine very complex functions. To resolve this problem, a novel method of function mining is proposed in this paper.
Taiyong Li   +6 more
openaire   +1 more source

Artificial intelligence based gene expression programming (GEP) model prediction of Diesel engine performances and exhaust emissions under Diesosenol fuel strategies

Fuel, 2019
The study explores the affectability of oxygenated fuel on the performances and exhaust emissions of adulterated Diesel fueled engine. Diesel adulteration decreases brake thermal efficiency (Bth), brake specific energy consumption (BSEC), unburned ...
S. Bhowmik   +4 more
semanticscholar   +1 more source

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