https://github.com/saranshmanu/genetic-optimisation-algorithm
Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection.
https://github.com/saranshmanu/genetic-optimisation-algorithm
Last synced: 10 months ago
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Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection.
- Host: GitHub
- URL: https://github.com/saranshmanu/genetic-optimisation-algorithm
- Owner: saranshmanu
- Created: 2018-11-02T15:28:02.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2018-11-02T16:13:13.000Z (about 7 years ago)
- Last Synced: 2025-02-01T07:19:03.488Z (11 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 23.4 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Genetic-Optimisation-Algorithm
Genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection. John Holland introduced Genetic Algorithm (GA) in 1960 based on the concept of the Darwin’s theory of evolution; afterwards, his student Goldberg extended GA in the 1989.