evolutionary algorithm
Transcription
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- US Pronunciation
- US IPA
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- /ˌe-və-ˈlü-shən, ˌē-və- ˈæl gəˌrɪð əm/
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- US Pronunciation
- US IPA
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- /ˌe-və-ˈlü-shən, ˌē-və- ˈæl gəˌrɪð əm/
Definitions of evolutionary algorithm words
- noun Technical meaning of evolutionary algorithm (EA) An algorithm which incorporates aspects of natural selection or survival of the fittest. An evolutionary algorithm maintains a population of structures (usually randomly generated initially), that evolves according to rules of selection, recombination, mutation and survival, referred to as genetic operators. A shared "environment" determines the fitness or performance of each individual in the population. The fittest individuals are more likely to be selected for reproduction (retention or duplication), while recombination and mutation modify those individuals, yielding potentially superior ones. EAs are one kind of evolutionary computation and differ from genetic algorithms. A GA generates each individual from some encoded form known as a "chromosome" and it is these which are combined or mutated to breed new individuals. EAs are useful for optimisation when other techniques such as gradient descent or direct, analytical discovery are not possible. Combinatoric and real-valued function optimisation in which the optimisation surface or fitness landscape is "rugged", possessing many locally optimal solutions, are well suited for evolutionary algorithms. 1
- noun evolutionary algorithm a computer program that is designed to evolve and improve in response to input 0
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Parts of speech for Evolutionary algorithm
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evolutionary algorithm popularity
This term is known only to a narrow circle of people with rare knowledge. Only 7% of English native speakers know the meaning of this word.
According to our data most of word are more popular. This word is almost not used. It has a much more popular synonym.
evolutionary algorithm usage trend in Literature
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