Improving Gene Expression Programming Method [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2009 In this work the algorithm of Gene Expression Programming (GEP) is investigated thoroughly and the major deficiencies are pointed out. Multiple suggestions for enhancements are introduced in this research aiming at solving the major deficiencies that ...
Najla Al-Saati, Nidhal Al-Assady
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A comparison of machine learning techniques for survival prediction in breast cancer [PDF]
BioData Mining, 2011 Background The ability to accurately classify cancer patients into risk classes, i.e. to predict the outcome of the pathology on an individual basis, is a key ingredient in making therapeutic decisions.
Vanneschi Leonardo +5 more
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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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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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Creep modeling of composite materials based on improved gene expression programming [PDF]
Scientific Reports, 2022 In this article, a new method for creep modeling and performance prediction of composite materials is presented. Since Findley power-law model is usually suitable for studying one-dimensional time-dependent creep of materials under low stress, an ...
Hua Tan, Shilin Yan, Sirong Zhu, Pin Wen
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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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Processes underlying the nutritional programming of embryonic development by iron deficiency in the rat [PDF]
, 2012 Peer reviewedPublisher ...
Gambling, Lorraine +5 more
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Applying Gene Expression Programming for Solving One-Dimensional Bin-Packing Problems [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2013 This work aims to study and explore the use of Gene Expression Programming (GEP) in solving on-line Bin-Packing problem. The main idea is to show how GEP can automatically find acceptable heuristic rules to solve the problem efficiently and economically.
Najla Al-Saati
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