Titlebook: Handbook of Genetic Programming Applications; Amir H. Gandomi,Amir H. Alavi,Conor Ryan Book 2015 Springer International Publishing Switzer

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Graph-Based Evolutionary Art are performed. Overall, the experimental results show the ability of the system to optimize the considered functions, individually and combined, and to evolve images that have the desired visual characteristics.

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Application of Genetic Programming in Hydrologyication. Previous applications of GP presented its capabilities to overcome some system characteristics such as the high-dimensional, nonlinearity, and convexity. GP is flexible to set with other systems in both internal and external states.

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Evaluation of Liquefaction Potential of Soil Based on Shear Wave Velocity Using Multi-Gene Genetic PMGGP-based deterministic as well as probabilistic methods with those of available artificial neural network (ANN)-based methods. The findings from the above two examples confirm that MGGP-based methods are more accurate than the ANN-based methods in predicting the liquefied as well as non-liquefied cases.

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Book 2015tions in solving current real world problems, such as energy conversion and management, financial analysis, engineering modeling and design, and software engineering, to name a few. Inspired by natural evolution, the use of GP has expanded significantly in the last decade in almost every area of sci

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Site Characterization Using GP, MARS and GPRint in Bangalore can be determined. A comparative study between the developed GP, MARS and GPR has been carried out in the proposed book chapter. The developed GP, MARS and GPR give the spatial variability of N. values at Bangalore.

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