Results 11 to 20 of about 38,424 (250)
Development of predictive models for sustainable concrete via genetic programming-based algorithms
Journal of Materials Research and Technology, 2023 Waste foundry sand (WFS), a by-product of the casting industry, is a potential material that may be employed as a substitute for fine aggregate in concrete.
Lingling Chen +6 more
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Case Studies in Construction Materials, 2023 This research intended to increase the understanding of using modern machine intelligence techniques, including multi-expression programming (MEP) and gene expression programming (GEP), for the compressive strength (CS) prediction of rice husk ash (RHA ...
Muhammad Nasir Amin +3 more
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INNOVATIVE PROTECTION AGAINST THE SCOUR AT OUTLETS OF CYLINDRICAL CULVERTS AND APPLICATION USING MULTI EXPRESSION PROGRAMMING TECHNIQUE (MEP) [PDF]
Engineering Heritage Journal, 2022 The present experimental study suggested a pool to resist the localized scour downstream of cylindrical culverts. The study was conducted with a range of intensity number of discharges 𝐹𝑝 = [0.44:0.98]. The proposed pool decreased the scour by 70%. The
Nassar M.A.
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Multi Expression Programming - an in-depth description [PDF]
, 2021 Abstract Multi Expression Programming (MEP) is a Genetic Programming variant that uses a linear representation of chromosomes. MEP individuals are strings of genes encoding complex computer programs. When MEP individuals encode expressions, their representation is similar to the way in which compilers translate C or Pascal expressions into ...
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Journal of Materials Research and Technology, 2023 Technological advancement encourages the usage of electronic appliances in daily life and makes it possible for users to switch to more advanced devices very easily and at a reasonable cost.
Sultan Shah +8 more
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Engineering Proceedings, 2023 Self-compacting concrete (SCC) is an innovative building material having special properties such as increased flowability, good segregation resistance and compaction without vibration, etc.
Waleed Bin Inqiad
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Mathematics, 2022 The past decade has seen an increase in the number of satellites in orbit and in highly dynamic satellite requests, making the control by ground stations inefficient.
Weihua Qi +3 more
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Evolving TSP Heuristics Using Multi Expression Programming [PDF]
, 2004 Multi Expression Programming (MEP) is an evolutionary technique that may be used for solving computationally difficult problems. MEP uses a linear solution representation. Each MEP individual is a string encoding complex expressions (computer programs). A MEP individual may encode multiple solutions of the current problem. In this paper MEP is used for
Mihai Oltean, D. Dumitrescu
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Journal of Materials Research and Technology, 2023 Concrete structures are prone to cracking due to environmental damage and/or tensile strain. Self-healing concrete has garnered scientific interest in recent years as it addresses the cracking problem and extends the service life of concrete structures ...
Fadi Althoey +7 more
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Evolving Evolutionary Algorithms Using Multi Expression Programming [PDF]
, 2003 Finding the optimal parameter setting (i.e. the optimal population size, the optimal mutation probability, the optimal evolutionary model etc) for an Evolutionary Algorithm (EA) is a difficult task. Instead of evolving only the parameters of the algorithm we will evolve an entire EA capable of solving a particular problem.
Mihai Oltean, Crina Grosan
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