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Correcting Instruction Expression Logic Errors with GenExp: A Genetic Programming Solution [PDF]
Computer Science Journal of Moldova, 2023 Correcting logical errors in a program is not simple even with the availability of an error locating tool. In this article, we introduce GenExp, a genetic programming approach to automate the task of repairing instruction expressions from logical errors.
Mohammed Bekkouche
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Modelling of the Elasticity Modulus for Rock Using Genetic Expression Programming [PDF]
Advances in Materials Science and Engineering, 2016 In rock engineering projects, statically determined parameters are more reflective of actual load conditions than dynamic parameters. This study reports a new and efficient approach to the formulation of the static modulus of elasticity Es applying gene ...
Umit Atici
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IEEE Access, 2022 Dispatching rules are most commonly used to solve scheduling problems under dynamic conditions. Since designing new dispatching rules is a time-consuming process, it can be automated by using various machine learning and evolutionary computation methods.
Lucija Planinic +3 more
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Learning expressive linkage rules using genetic programming [PDF]
Proceedings of the VLDB Endowment, 2012 A central problem in data integration and data cleansing is to find entities in different data sources that describe the same real-world object. Many existing methods for identifying such entities rely on explicit linkage rules which specify the conditions that entities must fulfill in order to be considered to describe the same real-world object.
Isele, Robert, Bizer, Christian
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Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions [PDF]
Evolutionary Computation, 2021 Abstract The Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) is a model-based EA framework that has been shown to perform well in several domains, including Genetic Programming (GP). Differently from traditional EAs where variation acts blindly, GOMEA learns a model of interdependencies within the genotype, that is, the linkage ...
M. Virgolin (Marco) +3 more
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Gene expression programming application for prediction of ultimate axial strain of FRP-confined concrete [PDF]
e-GFOS, 2018 The last three decades have seen increasing applications of fiber-reinforced polymer materials in structural engineering because of their many advantages over traditional strengthening and reinforcing materials.
Iman Mansouri +2 more
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Expressive Genetic Programming [PDF]
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, 2016 The language in which evolving programs are expressed can have significant impacts on the dynamics and problem-solving capabilities of a genetic programming system. In GP these impacts are driven by far more than the absolute computational power of the languages used; just because a computation is theoretically possible in a language, it doesn't mean ...
Lee Spector, Nicholas Freitag McPhee
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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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The Train Delay Model Developed by the Genetic Programming Algorithm
Journal of Advanced Transportation, 2022 The paper discusses the problem of probability distribution category identification of train delay data by a genetic programming algorithm. This train delay frequency function and the probability distribution simply derived from it are significant to ...
Tomas Brandejsky
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Journal of Saudi Chemical Society, 2021 Currently, the only widely available tool for controlling the SARS-CoV-2 pandemic is nonpharmacological interventions (NPIs). Coronavirus aerosols are around 0.3–2 µm in diameter (0.9 m in mass).
Malihe Zeraati +4 more
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