genetic algorithm

dʒəˈnɛtɪk ˈælɡəˌrɪðəm
Translation Definition
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Translation of genetic algorithm into Swedish

Noun

1.

artificial intelligence

TECH.
heuristic inspired by biological evolution
TECH.
genetisk algoritm
  • Researchers use genetic algorithms to solve complex AI problems.Forskare använder genetiska algoritmer för att lösa komplexa AI-problem.
2.

mathematics

TECH.
method for solving both constrained and unconstrained optimization problems
TECH.
genetisk algoritm
  • Genetic algorithm applications have grown in solving complex issues.Genetisk algoritm applikationer har ökat i att lösa komplexa problem.
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Synonyms and analogies of genetic algorithm in English

n.genetic programmingMore synonyms

Examples of genetic algorithm in a sentence

  • Engineers applied a genetic algorithm to optimize the network.
  • Researchers used a genetic algorithm to optimize the network.
  • A genetic algorithm can find solutions faster than traditional methods.

Translations of "genetic algorithm" in Context ordered by category and frequency

Noun
genetisk algoritmnmf.

The second approach was to handle the problem as a global optimization problem solved by a genetic algorithm.

Den andra metoden var att se problemet som ett globaltoptimeringsproblem, vilket kan lösas med hjälp av en genetisk algoritm.

Two algorithms were implemented and visualized in this project, the critical path algorithm and the genetic algorithm.

För att lösa detta implementerades och visualiserades två algoritmer, en för att lösa den kritiska vägen och en genetisk algoritm.

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genetic algorithm: Examples and translations in context

The results of the study shows that the genetic algorithm is able to improve the prediction quality of the studied code completion system.

Resultaten av studien visar att den genetiska algoritmen kan förbättra den prediktiva kvali- teten för det studerade kodkompletteringssystemet.

The chosen genetic algorithm is not restricted to moving to nearby nodes - the next node may be located anywhere in the environment.

Den valda genetiska algoritmen är inte begränsad till vägval till närliggande noder, den nod som är näst i tur kan ligga var som helst i miljön.

The main part of this report is devoted to examining which values that are suitable to use on the parameters that exist in the genetic algorithm, so that it will be as efficient as possible.

Huvuddelen av rapporten ägnas åt att undersöka vilka värden som är lämpliga att använda på de parametrar som finns i den genetiska algoritmen, så att den ska bli så effektiv som möjligt.

Wave59's proprietary genetic algorithm teaches the neural network the patterns in the data and has complete control over all phases of network training and structure.

Wave59 egenutvecklade genetisk algoritm lär det neurala nätverket mönstren i data och har fullständig kontroll över alla faser av nät utbildning och struktur.

Results related to the predictability were collected through a survey where four aspects were asked in comparisons between Theta* and the genetic algorithm: which path is smoother, which path is straighter, which path is more direct, and which path is shorter.

Resultaten angående förutsägbarheten samlades in genom en enkätundersökning där fyra aspekter efterfrågades i jämförelser mellan Theta* och den genetiska algoritmen: vilken väg är mjukast, vilken väg är rakast, vilken väg är mest direkt, och vilken väg är kortast.

The results showed that the genetic algorithm performed 0,6-2,0% better than Theta* and is thereby considered to be able to give more predictable paths.

Resultaten visade att den genetiska algoritmen presterat 0,6-2,0% bättre än Theta* och anses därför kunna ge mer förutsägbara vägar.

The second stage employs a multi-objective genetic algorithm that produces a front of Pareto optimal solutions with respect to the objective functions.

Det andra steget använder en mångriktig genetisk algoritm som ger framsidan av Pareto optimala lösningar med hänsyn till objektivfunktionerna.

This work compares Theta* and a genetic algorithm in order to investigate whether a genetic algorithm gives more predictable paths in dynamic environments than a deterministic search algorithm.

Detta arbete jämför Theta* och en genetisk algoritm för att undersöka ifall en genetisk algoritm ger mer förutsägbara vägar i dynamiska miljöer än en deterministisk sökteknik.

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