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Genetic Algorithms for Go/Golang

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14 reviews
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4.1
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Genetic Algorithms for Go/Golang Reviews

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Alexey G.
AG
Alexey G.
05/08/2023
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Incentivized Review

Robust platform for data analysis

I like how straightforward is the code-writing, and how the semantics can be easily transferred to another project. Basically, once you developed the generalized workflow, you can port the code onto multiple projects.
Cristian G.
CG
Cristian G.
asistente de compras hotel sheraton bogota
04/18/2023
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easy to handle, reliable, and very good technical support

there is a lot of variety, very good icons, and the support is super fast
Prabhjot S.
PS
Prabhjot S.
Lead Native & Hybrid App Developer
07/25/2022
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Review source: G2 invite
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approximate solutions quickly

The code is open in github and easy to implement. We can even handle error in input upto some extend.

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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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github.com