Background: Genetic Algorithms are methods for finding solutions to computational problems that are modeled after evolution. They tend to start by selecting a series of random possible solutions and testing them against a set problem, then testing how effective the given solution (or component thereof) was. Upon each completion, the best solutions are modified or “mutated” using the collected results and the process begins again. This repeats numerous times with the end goal of removing all but the best possible solution to the problem.
The Author believed that it would be humorous to take the scientific concept of genetic algorithms and transpose it onto a common life task - cooking. As is shown in the comic strip, the computer science students have decided to use a form of genetic algorithm to randomly combine ingredients to create the ultimate recipe for the dinner party. It’s funny because this leads to very peculiar food combinations that most people would not enjoy consuming.
