expression tree

expression tree

(mathematics, grammar)
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GEP uses a combined chromosome and expression tree structure [15] to represent a targeted solution of the problem being investigated.
The chromosome and expression tree structure of GEP is used to hold the parameters and functions.
Each chromosome is translated into an expression tree. Lines (11) to (17) calculate the fitness value of a chromosome.
Equation (1) can also be expressed by the following expression tree (ET) which is usually produced by GEP software packages.
The equation for GEP also can be expressed by expression tree (ET) as shown in Figure 2 to show the relationship between station 38 and station 6103047.
GEP utilizes development of numerical conditions that is encoded linearly in chromosomes of a consistent length and considered nonlinearly as expression trees (ETs) with various shapes and sizes.
The final model was selected based on criteria of the best fitness and less complicity of mathematical formulation; the expression trees are shown in Figure 6 and the mathematical formulation is given in the following equation:
They cover its syntax and how to use it with in-memory objects, relational data, and XML, and advanced uses such as expression trees, and applications in different scenarios such as ASP.NET and Windows Communication Foundation.
In Section 5, we describe a strategy that exploits the nesting relationship in expression trees to obtain greater optimization efficiency under SSAPRE.
In the absence of redundancy, we can exploit the nesting relationship in expression trees to avoid unnecessary work in the ancestral part of the tree.