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Name
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Description
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RSGAConsts
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Defines constants and types for the Genetic Algorithms & Programming Component Library
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RSGADomainXML
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Represents namespace RSGADomainXML.
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RSGenerics.GeneticProgramEngine
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Defines the generics classes for executing a tree-based genetic program.
Genetic programming is a computer science method, inspired by evolutionary biology, for automatically solving problems, without having to know or define the form or structure of optimum problem structure beforehand. You define the basic building blocks (functions, constants, and variables) of the problem and then the component does the rest. Genetic programming solves problems by evolving a group or population of candidate individuals through successive generations, selecting fitter (or better) child individuals for each generation, until a solution is found. It uses evolutionary biology techniques such as inheritance, mutation, selection, and crossover (also called recombination).
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RSGenerics.GeneticProgramming
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Defines generics classes for adding genetic programs to your applications.
Genetic programming is a computer science method, inspired by evolutionary biology, for automatically solving problems, without having to know or define the form or structure of optimum problem structure beforehand. You define the basic building blocks (functions, constants, and variables) of the problem and then the component does the rest. Genetic programming solves problems by evolving a group or population of candidate individuals through successive generations, selecting fitter (or better) child individuals for each generation, until a solution is found. It uses evolutionary biology techniques such as inheritance, mutation, selection, and crossover (also called recombination).
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RSGeneticAlgorithm
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Defines components for adding genetic algorithms to your applications.
Genetic algorithms seek to solve optimization or search problems. They are inspired by evolutionary biology and approach the search problem as a task of evolving a group or population of candidate individuals through successive generations, selecting fitter (or better) child individuals for each generation, until a solution is found. It uses evolutionary biology techniques such as inheritance, mutation, selection, and crossover (also called recombination).
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RSGeneticAlgorithmXML
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Represents namespace RSGeneticAlgorithmXML.
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RSGeneticBase
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Defines the base classes for both genetic algorithm components and genetic programming components in the Genetic Algorithms & Programming Component Library (GACL)
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RSGeneticDocumentXML
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Represents namespace RSGeneticDocumentXML.
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RSGeneticProgramming
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Defines floating point based classes for adding genetic programs to your applications.
Genetic programming is a computer science method, inspired by evolutionary biology, for automatically solving problems, without having to know or define the form or structure of optimum problem structure beforehand. You define the basic building blocks (functions, constants, and variables) of the problem and then the component does the rest. Genetic programming solves problems by evolving a group or population of candidate individuals through successive generations, selecting fitter (or better) child individuals for each generation, until a solution is found. It uses evolutionary biology techniques such as inheritance, mutation, selection, and crossover (also called recombination).
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RSGeneticProgrammingXML
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Represents namespace RSGeneticProgrammingXML.
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RSGPDomainXML
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Represents namespace RSGPDomainXML.
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