Day 5: Natural Selection in Software: Implementing Fitness Functions
In the natural world, organisms survive and reproduce based on their ability to adapt to their environment. This principle of natural selection is central to the effectiveness of genetic algorithms. In software, our analog to survival is fitness—a quantitative measurement of how well a solution performs.
Today, we focus on the role of fitness functions in guiding evolutionary progress in a genetic algorithm, and we’ll implement them in C# to evaluate and score candidate solutions effectively.