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ABSTRACT
Genetic programming (GP) is an automated method for creating a working computer program from a high-level problem statement of a problem.
Starting with a primordial ooze of thousands of randomly created computer programs, a population of programs is progressively evolved over a series of generations. The evolutionary search uses the Darwinian principle of survival of the fittest and is patterned after naturally occurring operations, including crossover (sexual recombination), mutation, gene duplication, gene deleti ....etc

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Information Systems
Managing Information
Information system
Software that helps the user organize and analyze data
Electronic spreadsheets and database management systems
Software tools that allow the user to organize, manage, and analyze data is various ways
Have you used a spreadsheet?
Spreadsheets
A software application that allows the user to organize and analyze data using a grid of labeled cells
– A cell can contain data or a formula that is used to calculate a value
– Data stored in a ....etc

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1. INTRODUCTION

In this section we present genetic programming, being the fourth member of the evolutionary algorithm family. Besides the particular representation (using trees as chromosomes) it differs from other EA strands in its application area. While the EAs are typically applied to optimization problems, GP could be rather positioned in machine learning. In terms of nature of this deferent problem types, most other EAs are used for finding some input realizing maximum payoff, whereas GP is used to seek models with maximum fit. Clear ....etc

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