https://github.com/grigorykrasnochub/go-linear-programming-task

Solving a linear programming task by the method of parameter evolution
https://github.com/grigorykrasnochub/go-linear-programming-task

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Solving a linear programming task by the method of parameter evolution

• Host: GitHub
• URL: https://github.com/grigorykrasnochub/go-linear-programming-task
• Owner: GrigoryKrasnochub
• Created: 2020-05-24T13:02:33.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-07-04T11:03:57.000Z (over 4 years ago)
• Last Synced: 2023-03-06T21:27:31.383Z (over 1 year ago)
• Language: Go
• Homepage:
• Size: 39.1 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# go-linear-programming-task

Solving a linear programming task by the method of parameter evolution

## Examples

Main page  

![Application interface](docs/interface-main.png)  

"Calc finish" message  

![Application interface](docs/interface-calc.png)

## Is work in progress?

No. It was my study project, and I just want to forget it :). But I'm ready to check any pull requests, or answer some questions.

## Key features

- It's work

- Interface by fyne, so you could build it for any platform

- Simple statistic module, with output in csv format

## Linear statistic module usage

Just add it to main.go

```

    log.SetOutput(ioutil.Discard)

    linprogtask.CalcRandom(10, 100, 100, "filepath", true)

```

And comment

```

    program := _interface.InitInterface()

    program.ShowInterface()

```

So main.go file should looks something like that

```

    package main

    

    import (

        "io/ioutil"

        "log"

        "math/rand"

        "time"

    

        "github.com/GrigoryKrasnochub/go-linear-programming-task/linprogtask"

    )

    

    func main() {

        rand.Seed(time.Now().UTC().UnixNano())

    

        //program := _interface.InitInterface()

        //program.ShowInterface()

    

        //Disable logs

    

        log.SetOutput(ioutil.Discard)

        linprogtask.CalcRandom(10, 100, 100, "filepath", true)

    }

```

### Statistic module csv output

Output of statistic module return data in csv format. So you can use any program you like, to open and analyze it.

So you can save it to file, just use function CalcRandom, with filepath parameter.

# Ru docs

Решение задачи линейного программирования методом эволюции параметра, все подробности выше!