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What is Genetic Programming

Chapter 446
Encyclopedia of Information Science and Technology, Second Edition
Search method inspired by natural selection. The basic idea is to evolve a population of “programs” candidates to the solution of a specific problem.
Published in Chapter:
Neural Networks for Automobile Insurance Pricing
Ai Cheo Yeo (Monash University, Australia)
Copyright: © 2009 |Pages: 6
DOI: 10.4018/978-1-60566-026-4.ch446
Abstract
In highly competitive industries, customer retention has received much attention. Customer retention is an important issue, as loyal customers tend to produce greater cash flow and profits, are less sensitive to price, bring along new customers and do not require any acquisition or start-up costs.
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Chapter 41
From Coder to Creator: Responsibility Issues in Intelligent Artifact Design
A programming paradigm where the program “evolves” as a string of symbols out of other strings of symbols. The “evolution” process mimics the mechanics of biological evolution, including operations like genetic cross-over, mutations, and selection of the “fittest” program variants.
Published in Chapter: From Coder to Creator: Responsibility Issues in Intelligent Artifact Design; From: Handbook of Research on Technoethics
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Chapter 5
Impulse Noise Filtering: Review of the State-of-the-Art Algorithms for Impulse Noise Filtering
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Chapter 588
Image Segmentation Methods
It is a specialization of genetic algorithms where each individual is a computer program and consists in is an evolutionary algorithm-based methodology to find computer programs.
Published in Chapter: Image Segmentation Methods; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 94
Evolving Graphs for ANN Development and Simplification
Machine learning technique that uses an evolutionary algorithm in order to optimise the population of computer programs according to a fitness function which determines the capability of a program for performing a given task.
Published in Chapter: Evolving Graphs for ANN Development and Simplification; From: Encyclopedia of Artificial Intelligence
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Chapter 17
Machine Learning and Financial Investing
Genetic programming is a machine learning technique used to optimize a population of computer programs according to a fitness landscape determined by a program’s ability to perform a given computational task.
Published in Chapter: Machine Learning and Financial Investing; From: Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques
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Chapter 238
Watermarking Using Intelligent Methods: Survey
This is an evolutionary algorithm-based methodology inspired by biological evolution to find computer programs that perform a user-defined task.
Published in Chapter: Watermarking Using Intelligent Methods: Survey; From: Encyclopedia of Business Analytics and Optimization
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Chapter 19
ANN Development with EC Tools: An Overview
Machine learning technique that uses an evolutionary algorithm in order to optimise the population of computer programs according to a fitness function which determines the capability of a program for performing a given task.
Published in Chapter: ANN Development with EC Tools: An Overview; From: Encyclopedia of Artificial Intelligence
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Chapter 23
Determination of Spatial Variability of Rock Depth of Chennai
Genetic Programming (GP) is a technique whereby computer programs are encoded as a set of genes that are then modified (evolved) using an evolutionary algorithm.
Published in Chapter: Determination of Spatial Variability of Rock Depth of Chennai; From: Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms
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Chapter 1
Introduction to Artificial Intelligence
Genetic programming is a programming that is patterned according to the style of genetic reproduction of cells.
Published in Chapter: Introduction to Artificial Intelligence; From: Handbook of Research on AI Methods and Applications in Computer Engineering
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Chapter 134
Intelligent Classifier for Atrial Fibrillation (ECG)
Genetic Programming (GP), evolved a solution in the form of a Lisp program using an evolutionary, population-based, search algorithm which extended the fixed-length concepts of genetic algorithms
Published in Chapter: Intelligent Classifier for Atrial Fibrillation (ECG); From: Encyclopedia of Artificial Intelligence
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Chapter 114
Grammar-Guided Genetic Programming
A variant of genetic algorithms that uses simulated evolution to discover functional programs to solve a task.
Published in Chapter: Grammar-Guided Genetic Programming; From: Encyclopedia of Artificial Intelligence
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Chapter 22
Artificial Intelligence: Current Issues and Applications
The model of programming, which utilizes the ideas of biological evolution to handle the complex problem.
Published in Chapter: Artificial Intelligence: Current Issues and Applications; From: Handbook of Research on Manufacturing Process Modeling and Optimization Strategies
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