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Genetic Algorithms for Go/Golang
14 reviews
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Average star rating
4.1
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Genetic Algorithms for Go/Golang Reviews
CF
Charles F.
Consultant at MICROS SystemOne of the best freely availble kit
- Free code you can easily take it from github.
- Easy to use and implementation is very easy
- Helps a lot in analysis if genetic information, used frequently in genetic data science community.
MB
Martin B.
.Best solution for code injection so far
What I like most are the interfaces to other code solutions. Thanks to this product, we can quickly implement code changes, both dynamic and static. This has made a lot possible in the past few weeks. The extensive documentation on GitHub with numerous examples for beginners as well as experts is especially noteworthy.
PK
Pawan K.
Lead Consultant at GenpactGenetic algorithm kit for analysis in GoLang
The code is free, open source and available on Github so anyone can go and look to understand the implementation and functionality of genetic algorithm. It gives good optimisation and can even handle the noise in the input to a certain extent.
About
What is Genetic Algorithms for Go/Golang?
Genetic Algorithms for Go/Golang, accessible at [https://github.com/thoj/go-galib](https://github.com/thoj/go-galib), is a library that implements genetic algorithms in the Go programming language. This library is suitable for developers looking to solve optimization and search problems using genetic algorithm techniques. It provides functionalities to create populations, evolve them through generations, and apply selection, crossover, and mutation operations to optimize solutions iteratively. The library is designed to be flexible, allowing users to customize components of the genetic algorithm to fit their specific problem requirements.
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