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genetisk algoritm
Sign in to saveAlso known as optimize problem, GA
sökmetod som använder evolutionens principer
AI overview
A genetic algorithm is a search method that works like evolution—it starts with many possible solutions, tests which ones work best, and then combines and modifies the winning solutions to find even better answers. This approach matters because it can tackle complex problems where traditional methods get stuck, making it useful for everything from engineering design to scheduling tasks.
AI-generated from the Wikipedia summary — may contain errors.
Research
53,490 papers- Hybrid quantum search with genetic algorithm optimization.PeerJ. Computer science · 2024
- Genetic Algorithm-Enhanced Direct Method in Protein Crystallography.Molecules (Basel, Switzerland) · 2025
- Voice recognition enhancement by genetic algorithm.Heliyon · 2024
- Student timetabling genetic algorithm accounting for student preferences.PeerJ. Computer science · 2023
- Calibration of an Adaptive Genetic Algorithm for Modeling Opinion Diffusion.Algorithms · 2022
via PubMed
Wikidata facts
Show 1 more fact
- inception
- 1975-00-00
via Wikidata · CC0
Gallery (2)
Connections
maxima and minima
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evolutionary algorithm
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evolutionary computation
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Institute of Electrical and Electronics Engineers
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fitness
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metaheuristic
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mutation
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crossover (genetic algorithm)
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feasible region
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genetic operator
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chromosome
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Estimation of distribution algorithm
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selection (genetic algorithm)
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Artificial intelligence
Concept
computer science
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Alan Turing
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engineering
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International Standard Book Number
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algorithm
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Pittsburgh
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