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Gene expression programming

Known as: GEP, Gene expression programing 
In computer programming, gene expression programming (GEP) is an evolutionary algorithm that creates computer programs or models. These computer… 
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Related topics

Related topics

38 relations
AForge.NETAdaptive systemArtificial intelligenceArtificial neural network

Broader (1)

Evolutionary computation

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Ultralow-Power Design in Near-Threshold Region
Operation in the subthreshold region most often is synonymous to minimum-energy operation. Yet, the penalty in performance is… 
Highly Cited
2010
Highly Cited
2010
A Model to Long-Term, Multiarea, Multistage, and Integrated Expansion Planning of Electricity and Natural Gas Systems
A long-term, multiarea, and multistage model for the supply/interconnections expansion planning of integrated electricity and… 
Highly Cited
2009
Highly Cited
2009
Prediction of compressive and tensile strength of Gaziantep basalts via neural networks and gene expression programming
In this paper, two soft computing approaches, which are known as artificial neural networks and Gene Expression Programming (GEP… 
Highly Cited
2008
Highly Cited
2008
Performance Bounds for Bidirectional Coded Cooperation Protocols
In coded bidirectional cooperation, two nodes wish to exchange messages over a shared half-duplex channel with the help of a… 
Highly Cited
2006
Highly Cited
2006
Ecohydrological impacts of woody‐plant encroachment: seasonal patterns of water and carbon dioxide exchange within a semiarid riparian environment
Across many dryland regions, historically grass‐dominated ecosystems have been encroached upon by woody‐plant species. In this… 
Highly Cited
2006
Highly Cited
2006
An evaluation of models for partitioning eddy covariance-measured net ecosystem exchange into photosynthesis and respiration
Highly Cited
2005
Highly Cited
2005
Prefix Gene Expression Programming
Expression Programming (GEP) is a powerful evolutionary method derived from Genetic Programming (GP) for model learning and… 
Highly Cited
2003
Highly Cited
2003
A new partitioning around medoids algorithm
Kaufman and Rousseeuw (1990) proposed a clustering algorithm Partitioning Around Medoids (PAM) which maps a distance matrix into… 
Highly Cited
2000
Highly Cited
2000
Targeting the right students using data mining
education domain offers a fertile ground for many interesting and challenging data mining applications. These applications can… 
Review
1993
Review
1993
Reviews, Notes, and Listings: When Others Must Choose: Deciding for Patients without Capacity
When Others Must Choose: Deciding for Patients without Capacity New York State Task Force on Life and the Law. 288 pages. Albany… 
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