File:Estimation_of_Distribution_Algorithm_animation.gif · Wikimedia Commons · See Wikimedia Commons
genetisch algoritme
Sign in to saveAlso known as optimize problem, GA
competitive algorithm for searching a problem space
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
Article · Nederlands
Een genetisch algoritme (GA) is een algoritme ontstaan in de kunstmatige intelligentie, dat gebruikt wordt om oplossingen te vinden voor optimalisatie- en zoekproblemen. Genetische algoritmen zijn een klasse binnen de .
Abstract from DBpedia / Wikipedia · CC BY-SA