Introduction

Genetic Algorithm (GA) can sometimes be a bit difficult to understand !! :(

In this article, I’ll help you understand GA with a simple example. So don’t worry. Hang tight. All will be clear soon !! :)

Below are the steps to be followed to solve any optimization problem with the help of GA.

• Step 1- Choose an encoding technique, a selection operator, and a crossover operator
• Step 2- Choose a population size
• Step 3- Randomly choose the initial population
• Step 4- Select parental chromosomes
• Step 5- Perform Crossover (random crossover points)
• Step 6- Evaluation of offsprings
• Step 7- Repeat the process

Now we’ll see an example of a simple optimization problem and try to solve it with the help of the steps mentioned above.

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