Results 1 to 10 of about 77,914 (161)
Programming gene expression with combinatorial promoters
Molecular Systems Biology, 2007 Promoters control the expression of genes in response to one or more transcription factors (TFs). The architecture of a promoter is the arrangement and type of binding sites within it.
Robert Sidney Cox +2 more
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Robust Gene Expression Programming
Procedia Computer Science, 2011 AbstractGenetic/evolutionary methods are frequently used to deal with complex adaptive systems. The classic example is a Genetic Algorithm. A Genetic Algorithm uses a simple linear representation for possible solutions to a problem. This is usually a bit vector. Unfortunately, the natural representation for many problems is a tree structure.
Noah Ryan, David L. Hibler
exaly +2 more sources
Creation of Numerical Constants in Robust Gene Expression Programming [PDF]
Entropy, 2018 The problem of the creation of numerical constants has haunted the Genetic Programming (GP) community for a long time and is still considered one of the principal open research issues.
Iztok Fajfar, Tadej Tuma
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A Gene Expression Programming Model for Predicting Tunnel Convergence
Applied Sciences, 2019 Underground spaces have become increasingly important in recent decades in metropolises. In this regard, the demand for the use of underground spaces and, consequently, the excavation of these spaces has increased significantly.
Mohsen Hajihassani +3 more
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A Preliminary Study of Knowledge Transfer in Multi-Classification Using Gene Expression Programming [PDF]
Frontiers in Neuroscience, 2020 Gene Expression Programming (GEP), a variant of Genetic Programming (GP), is a well established technique for automatic generation of computer programs.
Tingyang Wei +2 more
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Distributed Function Mining for Gene Expression Programming Based on Fast Reduction. [PDF]
PLoS ONE, 2016 For high-dimensional and massive data sets, traditional centralized gene expression programming (GEP) or improved algorithms lead to increased run-time and decreased prediction accuracy. To solve this problem, this paper proposes a new improved algorithm
Song Deng +4 more
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Dynamic flexible job shop scheduling method based on improved gene expression programming
Measurement + Control, 2021 Dynamic scheduling is one of the most important key technologies in production and flexible job shop is widespread. Therefore, this paper considers a dynamic flexible job shop scheduling problem considering setup time and random job arrival.
Chunjiang Zhang +5 more
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Gene Expression Programming for Quantum Computing
ACM Transactions on Quantum Computing, 2023 We introduce QuantumGEP , a scientific computer program that uses gene expression programming (GEP) to find a quantum circuit that either (1) maps a given set of input states to a given set of output states or (2) transforms a fixed initial state to minimize a given physical quantity of the output state.
Gonzalo Alvarez +3 more
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Engineering Applications of Computational Fluid Mechanics, 2021 Owing to the importance of municipal waste as a determining factor in waste management, developing data-driven models in waste generation data is essential.
Linyuan Fan +5 more
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Programmed Gene Rearrangements Altering Gene Expression
Science, 1987 Programmed gene rearrangements are used in nature to alter gene copy number (gene amplification and deletion), to create diversity by reassorting gene segments (as in the formation of mammalian immunoglobulin genes), or to control the expression of a set of genes that code for the same function (such as surface antigens).
Borst, P, Greaves, D
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