Soft Computing Project (FLC & GA)

This repository contains Python implementations for a Soft Computing project.
It includes two main programs:

• Problem 1: flc_washing_machine.py — Fuzzy Logic Controller (FLC) for determining washing machine wash time
• Problem 2: ga_travelling_salesman.py — Genetic Algorithm (GA) to solve a 16-city Travelling Salesman Problem (TSP)

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Getting Started

1. Prerequisites

• Python 3.x
• pip (Python package installer)

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2. Setup

1. Place the project files (flc_washing_machine.py, ga_travelling_salesman.py) in a new folder.

2. Open a terminal or command prompt in that folder.

3. Create and activate a virtual environment (recommended):

# Create the environment
python -m venv venv

# Activate on Windows (PowerShell)
.\venv\Scripts\Activate.ps1

# Activate on Windows (Command Prompt)
.\venv\Scripts\activate.bat

# Activate on macOS/Linux
source venv/bin/activate

4. Install required libraries:

pip install numpy matplotlib scikit-fuzzy scipy

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How to Run

Problem 1: Fuzzy Logic Controller (Washing Machine)

Run the script:

python flc_washing_machine.py

You will be prompted to enter:

• Dirt level (0–100)
• Grease level (0–50)

The program will then:

• Output the calculated wash time
• Display graphs of membership functions and the defuzzification result

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Problem 2: Genetic Algorithm (Travelling Salesman Problem)

Run the script:

python ga_travelling_salesman.py

You must input your 16 × 16 distance matrix, one row at a time.
Each row must contain 16 space-separated numbers.

After all 16 rows are entered:

• The GA runs for 20 iterations
• Prints the best distance found at each iteration
• Outputs:
  • The best path (tour)
  • The total distance
• Displays a convergence graph (distance decreasing over iterations)

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