# porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management architecture

> Architecture diagram of the GitHub repository porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-29). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management
- Repository: https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management

## Overview

This is a small command-line workforce scheduler. The user provides employee names and genders; the program creates a week of shifts, evolves candidate schedules using a genetic algorithm, prints the best schedule, and visualizes employee shift counts. The implementation is contained in `project.py`; the graph separates its main workflow, optimization stages, and reporting. The README documents the same capabilities, but no additional source modules are present.

Main entry points: [`project.py`](https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py) (Main Workflow)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_workflow["User Workflow"]
  node_main["Main Workflow<br/>[project.py]"]
  node_input["Collect Inputs<br/>[project.py]"]
end

subgraph group_optimization["Genetic Optimization"]
  node_scheduler["Workforce Scheduler<br/>[project.py]"]
  node_initialize["Initial Population<br/>[project.py]"]
  node_fitness["Fitness Constraints<br/>[project.py]"]
  node_ranking["Population Ranking<br/>[project.py]"]
  node_selection["Parent Selection<br/>[project.py]"]
  node_breeding["Population Breeding<br/>[project.py]"]
  node_variation["Crossover and Mutation<br/>[project.py]"]
end

subgraph group_reporting["Schedule Reporting"]
  node_count["Shift Counting<br/>[project.py]"]
  node_visualization["Shift Visualization<br/>[project.py]"]
end

node_user(("User"))
node_terminal["Terminal"]
node_matplotlib["Matplotlib"]

node_user -->|"provides details"| node_input
node_main -->|"collects inputs"| node_input
node_input -->|"returns employees and shifts"| node_main
node_main -->|"runs optimization"| node_scheduler
node_scheduler -->|"creates population"| node_initialize
node_scheduler -->|"ranks generations"| node_ranking
node_scheduler -->|"selects parents"| node_selection
node_scheduler -->|"breeds population"| node_breeding
node_ranking -->|"scores schedules"| node_fitness
node_breeding -->|"creates offspring"| node_variation
node_scheduler -->|"returns best schedule"| node_main
node_main -->|"prints schedule"| node_terminal
node_main -->|"counts assignments"| node_count
node_main -->|"plots shift counts"| node_visualization
node_visualization -->|"renders chart"| node_matplotlib

click node_main "https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py"
click node_input "https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py"
click node_scheduler "https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py"
click node_initialize "https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py"
click node_fitness "https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py"
click node_ranking "https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py"
click node_selection "https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py"
click node_breeding "https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py"
click node_variation "https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py"
click node_count "https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py"
click node_visualization "https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_main,node_input,node_user toneBlue
class node_scheduler,node_initialize,node_fitness,node_ranking,node_selection,node_breeding,node_variation toneAmber
class node_count,node_visualization toneMint
class node_terminal,node_matplotlib toneIndigo
```

## Components

### User Workflow

- [Main Workflow](https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py): `project.py`
- [Collect Inputs](https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py): `project.py`

### Genetic Optimization

- [Workforce Scheduler](https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py): `project.py`
- [Initial Population](https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py): `project.py`
- [Fitness Constraints](https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py): `project.py`
- [Population Ranking](https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py): `project.py`
- [Parent Selection](https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py): `project.py`
- [Population Breeding](https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py): `project.py`
- [Crossover and Mutation](https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py): `project.py`

### Schedule Reporting

- [Shift Counting](https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py): `project.py`
- [Shift Visualization](https://github.com/porhao/harnessing-genetic-algorithms-to-optimize-scheduling-challenges-in-workforce-management/blob/main/project.py): `project.py`

### Other components

- **User**
- **Terminal**
- **Matplotlib**

## Connections

- User → Collect Inputs: provides details
- Main Workflow → Collect Inputs: collects inputs
- Collect Inputs → Main Workflow: returns employees and shifts
- Main Workflow → Workforce Scheduler: runs optimization
- Workforce Scheduler → Initial Population: creates population
- Workforce Scheduler → Population Ranking: ranks generations
- Workforce Scheduler → Parent Selection: selects parents
- Workforce Scheduler → Population Breeding: breeds population
- Population Ranking → Fitness Constraints: scores schedules
- Population Breeding → Crossover and Mutation: creates offspring
- Workforce Scheduler → Main Workflow: returns best schedule
- Main Workflow → Terminal: prints schedule
- Main Workflow → Shift Counting: counts assignments
- Main Workflow → Shift Visualization: plots shift counts
- Shift Visualization → Matplotlib: renders chart