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Consolidation assessment using Multi Expression Programming
Applied Soft Computing, 2020Abstract In this study, new approximate solutions for consolidation have been developed in order to hasten the calculations. These solutions include two groups of equations, one can be used to calculate the average degree of consolidation and the other one for computing the time factor (inverse functions).
Sohrab Sharifi +2 more
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Multi expression programming: a new approach to formulation of soil classification
Engineering with Computers, 2009This paper presents an alternative approach to formulation of soil classification by means of a promising variant of genetic programming (GP), namely multi expression programming (MEP). Properties of soil, namely plastic limit, liquid limit, color of soil, percentages of gravel, sand, and fine-grained particles are used as input variables to predict ...
Amir Hossein Alavi +3 more
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Engineering Applications of Artificial Intelligence, 2022
Ruiliang Zhang, Xinhua Xue
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Ruiliang Zhang, Xinhua Xue
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ME-CGP: Multi Expression Cartesian Genetic Programming
IEEE Congress on Evolutionary Computation, 2010Cartesian Genetic Programming (CGP) is a form of Genetic Programming that uses directed graphs to represent programs. In this paper we propose a way of structuring a CGP algorithm to make use of the multiple phenotypes which are implicitly encoded in a genome string.
Phil T. Cattani, Colin G. Johnson
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Stock Market Prediction Using Multi Expression Programming
2005 portuguese conference on artificial intelligence, 2005The use of intelligent systems for stock market predictions has been widely established. In this paper, we introduce a genetic programming technique (called multi-expression programming) for the prediction of two stock indices. The performance is then compared with an artificial neural network trained using Levenberg-Marquardt algorithm, support vector
Crina Grosan +3 more
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Evolving digital circuits using multi expression programming
Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004., 2004Multi expression programming (MEP) is a genetic programming (GP) variant that uses linear chromosomes for solution encoding. A unique MEP feature is its ability of encoding multiple solutions of a problem in a single chromosome. These solutions are handled in the same time complexity as other techniques that encode a single solution in a chromosome. In
M. Oltean, C. Grosan
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Image retrieval based on Multi Expression Programming algorithms
2013 Ninth International Conference on Natural Computation (ICNC), 2013The effectiveness of content-based image retrieval (CBIR) systems can be improved by combining image features or by weighting image similarities, as computed from multiple feature vectors. However, feature combination does not always make sense and the combined similarity function can be more complex than weight-based functions to better satisfy the ...
Weihong Wang, Wenrou Lin, Qu Li
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New Ground-Motion Prediction Equations Using Multi Expression Programing
Journal of Earthquake Engineering, 2011High-precision attenuation models were derived to estimate peak ground acceleration (PGA), velocity (PGV), and displacement (PGD) using a new variant of genetic programming, namely multi expression programming (MEP). The models were established based on an extensive database of ground-motion recordings released by Pacific Earthquake Engineering ...
Amir Hossein Alavi +3 more
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