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Cited by (16)
Relating stomatal conductance and surface area with evapotranspiration induced suction in a heterogeneous grass cover
2019, Journal of HydrologyCitation Excerpt :It should be noted that stomatal conductance may not decrease or increase consistently during day light period. In such case, comprehensive and accurate models can be developed using neural network (Alavi et al., 2009; Gandomi et al., 2008). It should be noted that drought response of various evergreen or deciduous vegetation may be dissimilar to that of the species tested in preset study (Smith et al., 2001; Niinemets and Valladares, 2006; Vijayaraghavan et al., 2018).
Formulation of shear strength of slender RC beams using gene expression programming, part I: Without shear reinforcement
2014, Automation in ConstructionCitation Excerpt :GEP is a linear variant of GP invented by Ferreira [9]. The linear variants of GP make a clear distinction between the genotype and the phenotype of an individual [5,8,10,18,19]. GEP consists of five main components: function set, terminal set, fitness function, control parameters, and termination condition [5,10].
Linear and Tree-Based Genetic Programming for Solving Geotechnical Engineering Problems
2013, Metaheuristics in Water, Geotechnical and Transport EngineeringFlow discharge prediction in compound channels using linear genetic programming
2012, Journal of HydrologyCitation Excerpt :GP is an extension to genetic algorithm (GA). It is a pattern for learning the most “best fit” computer programs by means of artificial evolution (Johari et al., 2006; Gandomi et al., 2008). The GP and GA methods are similar in most aspects: both initialise a population and compound the random members known as chromosomes (individual).
A new predictive model for compressive strength of HPC using gene expression programming
2012, Advances in Engineering SoftwareCitation Excerpt :GEP is a linear variant of GP. The individuals created by linear variants of GP are represented as linear strings that are decoded and expressed like nonlinear entities (trees) [20,26]. An ET can inversely be converted into a K-expression by recording the nodes from left to right in each layer of the ET, from root layer down to the deepest one to form the string.
Permanent deformation analysis of asphalt mixtures using soft computing techniques
2011, Expert Systems with ApplicationsCitation Excerpt :The linear variants of GP make a clear distinction between the genotype and the phenotype of an individual. Thus, the individuals are represented as linear strings that are decoded and expressed like nonlinear entities (trees) (Gandomi, Alavi, & Sadat Hosseini, 2008; Oltean & Grosşan, 2003a). MEP is a subarea of GP that was developed by Oltean and Dumitrescu (2002).