Evolutionary computation and Evolutionary programming

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Evolutionary computation and Evolutionary programming

Evolutionary computation vs. Evolutionary programming

In computer science, evolutionary computation is a family of algorithms for global optimization inspired by biological evolution, and the subfield of artificial intelligence and soft computing studying these algorithms. Evolutionary programming is one of the four major evolutionary algorithm paradigms.

Similarities between Evolutionary computation and Evolutionary programming

Evolutionary computation and Evolutionary programming have 8 things in common (in Unionpedia): Artificial intelligence, Evolution, Evolution strategy, Evolutionary algorithm, Genetic algorithm, Genetic operator, Genetic programming, Lawrence J. Fogel.

Artificial intelligence

Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals.

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Evolution

Evolution is change in the heritable characteristics of biological populations over successive generations.

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Evolution strategy

In computer science, an evolution strategy (ES) is an optimization technique based on ideas of evolution.

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Evolutionary algorithm

In artificial intelligence, an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm.

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Genetic algorithm

In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA).

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Genetic operator

A genetic operator is an operator used in genetic algorithms to guide the algorithm towards a solution to a given problem.

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Genetic programming

In artificial intelligence, 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 (often a genetic algorithm, "GA") – it is an application of (for example) genetic algorithms where the space of solutions consists of computer programs.

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Lawrence J. Fogel

Dr.

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The list above answers the following questions

What Evolutionary computation and Evolutionary programming have in common
What are the similarities between Evolutionary computation and Evolutionary programming

Evolutionary computation and Evolutionary programming Comparison

Evolutionary computation has 97 relations, while Evolutionary programming has 13. As they have in common 8, the Jaccard index is 7.27% = 8 / (97 + 13).

References

This article shows the relationship between Evolutionary computation and Evolutionary programming. To access each article from which the information was extracted, please visit:

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